Podcasts about hz

Play Episode Listen Later May 28, 2026 63:58

Jay Gunkelman goes in BLIND on Case 9 — an 18-year-old's eyes-open EEG, age only, no history. Joshua Moore bet his car on a left posterior concussion. Jay sees something deeper: a thalamocortical dysrhythmia at the anterior cingulate, slow and fast rhythms coupled together, beta spindling above 30 Hz that most databases can't even see. Left-side mu disconnect shutting down the language hemisphere. Posterior insula, left side. After half a million EEGs, Jay's verdict isn't a diagnosis — it's a phenotype that tells you how to treat it, not what to call it.

How Power Line Frequency Can Change Brain Function: New Worm Study Reveals Hidden EMF Effects

study hidden effects researchers frequency worm hz brain function powerline

Play Episode Listen Later May 28, 2026 4:53

A groundbreaking study shows that sixty hertz magnetic fields -- the same frequency as our electrical power grid -- can alter protein function and change behavior in living organisms. Researchers exposed mutant worms to power-line frequency magnetic fields and discovered their social feeding behavior shifted to solitary patterns. This demonstrates that the electromagnetic fields surrounding us daily can directly affect how proteins function in nervous systems. In This Episode How sixty hertz magnetic fields altered worm feeding behavior Why this frequency matters for human health What protein disruption means for cellular communication Simple steps to reduce daily magnetic field exposure Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

HPR4648: Simple Podcasting - Episode 4 - Audio Analysis Fun

Hacker Public Radio

Play Episode Listen Later May 27, 2026

This show has been flagged as Clean by the host. 01 This is the fourth episode in a four part series on simple podcasting. 02 Introduction In this episode we will discuss alternatives to Audacity when it comes to analyzing audio spectrums to find the sources of unwanted noise. I previously promised some gratuitous hackery, and we will get into that in this episode. 03 Recall that with Audacity you first import the audio file, then select the part of the audio you wish to analyze (or ctrl-A for all), and then select analyze > plot spectrum. This is in fact the only feature of Audacity that I know how to use. I am definitely not an audio expert. I do however have some background in processing and analyzing other signals, so some of the basics are familiar to me. 04 We can accomplish the same thing that Audacity does in this instance provided we can do the following. First, we need to get the data out of the audio file and into a form which we can import into other software. Second, we need to perform certain mathematical operations on this data. Finally, we need to be able to plot the results of these calculations on a chart. -------------------- 05 Fourier Transforms First though, we need a bit of mathematical background. What Audacity is doing when it shows a plot of frequency versus amplitude is that it is showing the results of a Fourier Transform. A Fourier Transforms is a mathematical operation that converts the time domain into the frequency domain. Any complex signal, audio or otherwise, can be broken down into a collection of sine waves of various frequencies. For example, a simple square wave signal of say 100 hertz can be represented as a sine wave of frequency 100 hertz plus a collection of higher frequency sine waves which add together to give the sharp corners. 06 A Fourier Transform finds these sine waves and sorts them out into separate bins, with each bin representing an individual frequency or a collection of closely related frequencies, depending on how fine grained the sorting is. 07 This is exactly what we want when we are trying to figure out how to filter out noise. Recall that earlier in this series we had to solve a problem with a high pitched background noise which was originating in my cheap microphone. Analyzing this audio by frequency showed that it was a series of individual tones at 1 kHz intervals. We were then able to use filters targeted at those frequencies to get rid of that noise. 08 There are several optimized versions of the Fourier Transform algorithm. A very common one is the Fast Fourier Transform, common abbreviated to just "FFT". This is so common that the term "FFT" is often used to simply mean any Fourier Transform even though this is not technically correct. 09 Typical FFT algorithms require that the number of data samples is exactly a power of two. So the number of samples we need may be something like 4096, 8192, or 65536, to give a few random examples. When we transform from the time domain to the frequency domain, each sample becomes a single frequency "bin". So the more samples we have, the finer the resolution we get in terms of frequency. 10 If we assume we are dealing with flac files recorded at a 44.1 kHz sample rate, that is, 44100 samples per second, then if we have 32768 samples, each "bin" represents slightly more than 1 hertz. If we have 65536 samples, then each "bin" represents a fraction of a hertz. For our purposes we will pick 65536 samples. That means we need 1.48 seconds of data. For simplicity's sake we will record at least 2 seconds of data and then just discard the samples that we don't need. 11 There is a further complication here. Fourier Transforms normally work with complex numbers. Recall from your school days that as well as integers and real numbers there are complex numbers. Each complex number consists of two parts, a real component and an imaginary component. I won't go into the details of this, just accept that each sample needs to have two components. Fortunately, if we don't have complex number data we can just set the imaginary component to zero and use that. This is enough talking about the theory, let's get into the practical details. -------------------- 12 Extracting Data from Audio Files First we will look at how to extract the data from the audio files. Fortunately, one of the programs which we have already been using can do this. To do this we will use Sox. I am not aware of an equivalent feature in ffmpeg. 13 Sox calls itself "SoX - Sound eXchange, the Swiss Army knife of audio manipulation" Sox is free software and is licensed under the GPLV2 or later. In this case we want to use a feature which allows us to convert a binary audio signal file to a text data file. To convert the file to text data we just give the output file a ".dat" file extension and Sox will do this for us. 14 Here is a command example. sox inputfile.flac tdata.dat 15 This gives us a file in the following format, assuming this is a mono audio recording. ; Sample Rate 44100 ; Channels 1 0 0.045471191406 2.2675737e-05 0.055023193359 4.5351474e-05 0.048217773438 6.8027211e-05 0.053192138672 etc. The first line states the sample frequency The second line states that the data is for channel 1. The data starts on the third line. Column 1 is the time in seconds. Column 2 is the waveform data point. 16 To analyze the data we want a subset of these samples. When we convert from the time domain to the frequency domain, our resolution will be determined by the number of samples. We would like therefore to have at least as many samples as the sampling rate. We also want the samples size to be an even multiple of two. The number of points we want to have is equal to the next even multiple of two above our chosen sampling rate, 44,100 Hz. This number would be 65536. 17 To extract this data from the file we can do the following. tail tdata.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > tdata.csv 18 We use tail to skip over the first three lines. We use head to take the next 65536 lines and discard the rest. We use awk to extract the second column which we will use as the real component. We now have this data as a csv file in one column. -------------------- 19 Analyzing the Data To analyze the data we need software which can calculate FFTs. I will now show two examples of this, a very simple case using Libre Office Calc, and a more complex but more complete one using GNU Octave. 20 Using Libre Office We can do fourier analysis and plot charts using Libre Office. Take the csv file of data that we previously created. For this example I used data from a recording of silence so that I could see what internal noise was being generated by the headset. Open the csv file and import it into Libre Office Calc. 21 Now select all 65536 rows of column A. The Fourier function will automatically fill the imaginary component with zeros if we don't provide an column of imaginary numbers, so we don't need to provide a column of zeros. Then select Data > Statistics > Fourier Analysis. 22 A window will open allowing you to select various parameters. For Results to:, enter "D1". Grouped by Columns. Select OK. 23 New data should now appear starting in cell D1. The first line will say " Fourier Transform" The second line will state the input range. The third line will state "Real" in column D, and "Imaginary" in column E. The data will start in row 4. 24 For our simple example we will ignore the imaginary data and just use the real data, which will form our Y component when we plot it on a chart. We now need to create the X axis data. 25 Each cell is a "bin" of frequencies. Each cell therefore represents (sample frequency) / (Number of samples) Hz. 26 To create the X axis data showing frequency, enter the following formula in to column C to the left of each D column number. =((44100/65536) * (ROW() - 4) 27 We can now create an XY chart showing the frequency analysis. You may need to exclude the first couple of dozen rows as very low frequency components which cannot be heard may otherwise overwhelm the data we are interested in. Also, you only need the first half of the chart. The FFT mirrors the data from the first half of the array into the second half. 28 Because characterizing a sine wave requires a minimum of 2 points, although we have a sample frequency of 44.1 kHz, we really only have sound waves up to a maximum of half that, or 22.05 kHz. Create the chart with lines only. If you followed the above instructions, you should see something resembling what we saw in Audacity, except with each bin more sharply defined. 29 In the data that I had from a recording of unfiltered headset noise, I could see a distinct noise spike every 1000 hertz. 30 However, we have taken several shortcuts. First, the imaginary component of the data was ignored. Second, the magnitude (that is, Y axis) has both positive and negative peaks. Third, the data is not scaled to dB sound units, so we just have a relative measure. However, that by itself is enough to tell us where the frequencies are that we need to construct filters to deal with. 31 We could refine this spreadsheet a bit more to deal with the above issues, but I think we have demonstrated the basic principle, and working with a spreadsheet can be a bit awkward. However, if working with a spreadsheet is what you want to do, then you can add more columns and more formulae to improve on it. -------------------- 32 Other Analysis Software I will go on to GNU Octave in a moment, but I want to get a few other alternatives out of the way first. I won't go into any detail on them other than to point them out to people who want to have a go at trying these themselves. 33 Grace There is math and plotting software called Grace. This is free software, released under the GPL V2. According to the documentation, it seems to have the features we need, including an FFT function. However, I could not get it to work properly on Ubuntu 24.04. I could not get it to load a data file and plot data. 34 The error messages were vague and unhelpful. The file navigation system didn't work. There was no obvious path to success, and if it isn't easy to use then there is no point to it. This is fairly old software, designed for X Window and Motif. I gave up on it as not suitable for this series as I am looking for some fairly low effort things for people to try themselves. If someone else can get it to work on their PC, perhaps they could do an HPR episode on this themselves. 35 Command Line FFT Packages There are several command line FFT packages. They will read data from std in or from a file and output the FFT. However, these are not packaged for Ubuntu and appear to be distributed as C source code which you would download and compile. You can experiment with those if you wish, but I felt they were a bit out of scope for discussion here as I am looking at common tools that are ready to use. 36 Here are two examples. One is Command-line Fast Fourier Transform utility https://github.com/gregfjohnson/fft Another is cli-fft https://github.com/jonolafur/cli-fft 37 I have not tried these and cannot say whether they are any good or not. Similarly, there are a number of FFT packages that are libraries for languages such as Python. If you want to take the time to write a short program to go with them, you can create a dedicated FFT command line program. However, I felt that this too was out of scope for what I was trying to do here. 38 Doing it the Hard Way Hypothetically, it may be possible to write an FFT function in bash bc, which is the arbitrary precision calculator language which is part of the standard shell package. I say hypothetically, because I have not tried it. I think it would be an interesting challenge, but I don't have the time at the moment to try it. If anyone feels motivated to give it a try, they're welcome to give it a go and then do a podcast episode on it. -------------------- 39 GNU Octave We have seen that as well as using features built into Audacity to analyze the audio spectrum to see the frequencies of undesired noises, we were able to do the same using a Libre Office spreadsheet. 40 Now we'll look at another bit of software, GNU Octave. GNU Octave is free software, licensed under the GPL V3 or later. It is a mathematical scripting language, very similar to Matlab. People use it for mathematical, engineering, and scientific work. It can be found in most Linux distros and is available for some other operating systems as well. 41 Octave has two features built in that we need for our purposes. It does FFTs, and it has a plotting system built in to produce graphs. -------------------- 42 We will take the same audio test file that we used with Audacity and Libre Office and use it here as well. The bash script to convert the flac file to text data is essentially the same, with the exception that file extension on the output file as is ".txt" instead of ".csv". This latter change was an arbitrary decision on my part. 43 As a quick review, this bash script uses sox to convert a flac file to a text ".dat" file. Then it uses tail, head, and awk to extract the first 65536 rows of data, skipping over the header information and ignoring the first column of time data. This script will be in the show notes. -------------------- #!/bin/bash # This version is for use with the GNU Octave script. sox hsnoisemono.flac hsnoisemono.dat tail hsnoisemono.dat -n+3 | head -n65536 | awk '{printf "%sn", $2}' > hsnoisemono.txt -------------------- 44 We now have a 1.1 MB file containing 65536 samples of data in text format. Now the next thing we need to do is to create a short Octave script file. I will just give a brief overview of the script here, the full script will be in the show notes. 45 I put the script in a file called "octavespectrum.m". I have never used Octave before now, but the convention seems to be to give the script a ".m" ending. The "she-bang" line is "#!/usr/bin/env octave". If you make the file executable you can run it like any other script, or you can type "octave" and then the name of the script to run. 46 I won't read out the script in detail, as that would be too hard to following along in a podcast. However, I pass several arguments to the script including the name of the data file, and then two integers that I use to limit the display area in the Y and X axes so I can have the chart focus on the areas of interest that I want to see. I also pass a string containing the name of the graphic file that I want the chart exported to. This was an arbitrary decision on my part and you can just hard code these values in if that is what you want to do. 47 The arguments are accessed by calling the "args()" function, which returns an array of strings. Next, it reads in the specified file using the "dlmread()" function. This reads all of the data into an array. 48 Next, it performs a hamming windowing function on the data. I'll explain that briefly. It is standard practice when doing FFT signal processing to "window" the signal. Since the signal sample is of finite length, it will stop at each end of the array. 49 Unless you were lucky enough for this to happen exactly at a zero crossing, this would produced an abrupt transition in the data which looks like "noise" to the FFT. The solution is to taper the signal off gradually towards the ends so that when it gets cut off the signal is fairly small at that point anyway. There are a variety of different windowing functions, but "hamming" seems to be the most commonly used. 50 Next, it does an FFT using the "fft()" function. 51 This gives us real and imaginary outputs. These are combined by summing the squares of each corresponding real and imaginary element and then taking the square root of each and storing that in a new array. This gives a single array of the same length as the originals, but combining the two output components. If anyone wants to tell me that this isn't how things are done in the audio world, they're welcome to make an HPR episode telling us all the right way to do things. 52 Then it does some scaling and selection of subsets of data so we get the X axis in hertz and just the number of samples that we wish to look at. If you are looking at the script, the thing to keep in mind is that Octave will work on entire arrays of data in a single operation. You don't need to write explicit loops for this. The looping is handled implicitly as part of the syntax. 53 It also does various other things that make the chart easier to read. The comments in the script describe these in more detail. Since this is a script it's easier to add these sorts of refinements than is the case for a spreadsheet so I have made the effort to add them. Finally it calls the "plot()" function. If an output graphics file name was provided, it also creates a PNG file containing the same image using the "saveas" function. 54 We now see the chart, and it looks more or less as expected. However, this chart is interactive. You can zoom and pan the data, something that you can't do with either Audacity or Libre Office. The chart window doesn't have a function for exporting the resulting chart to a "png" file, it will only save to an ".ofig" file. The ofig file is not a standard graphics file, it is a serialization of the chart data that can only be looked at using the Octave chart viewer. 55 Alternatively, you can just take a screenshot of the chart after you have interactively zoomed and panned to a point of interest. At the bottom left of the chart window is a pair of x-y coordinates which tell you the current position of the mouse pointer in chart units. This is very handy as it can be used to get the exact (or close to exact) frequency of each noise spike. 56 The Y axis is not scaled in any particular units such as dB, as I'm not sure how to do that according to audio industry conventions. On the other hand, I'm not sure that it's really necessary, as I don't know what dB means in tangible terms anyway. It does show relative sizes, so it helps to determine whether you have one noise frequency or multiple frequencies to worry about. 57 If anyone is familiar with how to scale the raw data from a flac file as exported by Sox into dB units according to audio industry convention, then they are welcome to create an HPR episode telling us how to do it. -------------------- 58 Comments on GNU Octave I had never used GNU Octave before this, although I had heard of it and it is quite a significant piece of software for a specific segment of users. 59 The syntax is a bit odd especially in how it deals with array operations, but I was able to google various examples and answers to eventually get this working. A few other peculiarities are that it uses the percent "%" character to denote a comment, and leaving out the semi-colon at the end of the line causes it to print the answer to the console after executing the statement. 60 The GNU Octave solution was harder to get working than the Libre Office method. However, once it was working it is easier to use repeatedly. If I were to want to automatically generate audio files with different filtering or other options and wanted to script the creation of a large number of images showing the results, this would be the way to do it. 61 When your run the Octave script you may get a warning which says something like "QSocketNotifier: Can only be used with threads started with QThread". This is apparently a routine warning message from the Qt graphics system which has no real significance in this context and can be ignored for our purposes. -------------------- 62 We now have a bash script which will use sox to extract the data from a flac file, and a GNU Octave script which can be used to display the resulting frequency spectrum. This does more or less the same thing as "Plot Spectrum" does in Audacity, but allows for zooming and panning to get a more detailed look at the data. 63 However it doesn't give you an absolute reading of the sound levels in dB, something that Audacity does provide. What I wanted it for though was to find the frequencies of the audible noise in the signal, something that it does quite well. -------------------- #!/usr/bin/env octave % Perform an FFT on the data in a file and plot the results. % ====================================================================== % The sampling frequency. This must be changed to accommodate the % actual sampling frequency if it was something else. samplefreq = 44100; % Thickness of line on plot. linewidth = 2; % ====================================================================== % The name of the data file is passed as a argument. args = argv(); if length(args) < 3 quit endif % File name. fname = args{1}; % Clip the peak values. peakclip = str2double(args{2}); % How much data to show, in kHz. rbound = str2double(args{3}) * 1000; % The optional file name to save a chart image to. if length(args) > 3 chartfile = args{4}; else chartfile = ""; endif % ====================================================================== % Read the data in from the file. sampledata = dlmread(fname); % Number of samples. samplecount = length(sampledata); % ====================================================================== % Window the data. This helps deal with the discontinuity of data at % each end of the array and the effects this has on introducing apparent % noise into the signal. windoweddata = (hamming(samplecount) .* sampledata); % ====================================================================== % Do the actual FFT. fftresults = fft(windoweddata); % Get real component. r = real(fftresults); % Get the imaginary component. i = imag(fftresults); % Combine the real and imaginary. In order to square each element of each % array, we must use the ".^" operator, not just "^". rfft = sqrt(r.^2 + i.^2); realfft = rfft(1:samplecount); % ====================================================================== % Scale factor for frequency. fscale = samplefreq / samplecount; % X axis scale, scaled to frequency. f = (0:samplefreq/2) * fscale; % Take a subset of the data if specified. rbound has to be re-scaled % from kHz to array increments. freq = f(1:min(rbound / fscale,length(f))); % y axis. We take the absolute value and then limit (clip) the peaks % so that a few large peaks don't obscure the smaller ones. mag = min(abs(realfft(1: length(freq))), peakclip); % Plot the results. figure; whandle = plot(freq, mag, 'LineWidth', linewidth); title(["Audio Spectrum of ", fname]); xlabel("Frequency (Hz)"); ylabel("Unscaled Magnitude"); grid on; % If the appropriate optional argument was specified, save the chart % to a file of that name. if length(chartfile) > 4 saveas(gcf, chartfile, "png"); endif % Need this so the plot window stays open. waitfor(whandle); % ====================================================================== -------------------- This is the shell script used with the above Octave script. The arguments are 1 - the file name for the input data file. 2 - The value to clip the peaks at. 3 - The upper frequency bound in kHz. 4 - The output graphics file name. #!/bin/bash octave octavespectrum.m hsnoisemono.txt 10 12 hsnoisemono.png -------------------- 64 Episode Conclusion In this episode we covered the following topics. What Fourier transforms are. Extracting data from audio files using Sox. Analyzing the data using Libre Office. Analyzing the data using GNU Octave. And, several alternative analysis methods. 65 Series Conclusion This is the end of a four part series on simple podcasting. In the first episode, we covered a simple podcast recording method. This first episode is all you really need to make a podcast. 66 In the second episode we covered basic filtering and a few other simple topics. The methods discussed in that episode provide basic improvements to your audio if you feel the need for it. 67 In the third episode we covered how to analyze audio noise problems using Audacity and additional filtering techniques to deal with specific problems that we may find. We also covered command line recording, playback, and getting information about an audio recording. 68 In the fourth episode we engaged in a bit of gratuitous hackery for the fun of it and showed how to use alternative software methods to analyze audio signals. 69 I hope that this series has been both useful and entertaining and that you will use the knowledge gained here to create and submit your own HPR podcast episodes. -------------------- -------------------- Provide feedback on this episode.

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Flow Ep. 53: White House Shooter, 440 Hz & Carter Braxton

Badlands Media

Play Episode Listen Later May 26, 2026 177:52

Episode 53 of Flow drops on Memorial Day weekend with Cam Cooksey navigating a live breaking news situation and tying it all back to God's frequency. A shooter identified as William Sexton, a trans-Democrat activist angry about the US-Iran peace deal, fires on a White House checkpoint and is neutralized by Secret Service. Cam reads the unfolding reports live and lands on a false flag theory with MK Ultra overtones. The 440 Hz versus 432 Hz frequency debate sparks from a chat comment, with Cam connecting 440 standardization to the day Hitler invaded Poland, Havana Syndrome, and weaponized sound. Cam shares his reaction to finally watching Vibes 2 by Rise Attire, reading the two closing quotes from the film live, including the JRR Tolkien quote extended by Rise Attire themselves. Kyle Busch's sudden death is noted with questions about cause. Memorial Day is honored with gratitude for those who gave everything. Double Americans of the Week: Carter Braxton and George Clymer, both Declaration signers who lost fortunes and kept their word anyway.

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12 Hours Brown Noise | 100Hz | Black Screen

Play Episode Listen Later May 22, 2026 720:00

This 12 hours brown noise at 100 Hz delivers a deep, grounding sound designed to calm the mind and support uninterrupted sleep. The black screen eliminates visual stimulation, helping you focus entirely on rest.Brown noise emphasizes lower frequencies, making it especially helpful for anxiety, overthinking, and deep relaxation.Frequency: 100 HzDuration: 12 HoursScreen: BlackNo visuals.No talking.Just deep sound that stays.Brown Noise Sleep SoundsSound that stays.

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Meditations Album - A Journey Through Positive Neural Connections

Play Episode Listen Later May 22, 2026 22:11 Transcription Available

What if you could sculpt your brain with sound, the same way repeated stress can sculpt it against you? We run a crossover deep dive from Vibes Lab to unpack “Meditations: Positive Neural Connections” and the bigger claim behind it: audio is not just entertainment, it is a biological input that can train your nervous system toward anxiety or toward regulation. Along the way, we translate the science into plain language, from neuroplasticity (your mind as wet clay) to brainwave entrainment (your brain syncing to a dominant external rhythm), so the ideas feel usable instead of abstract.We also walk through the five guided “doorways” inside the album, releasing May 22, 2026, and available to pre-order now: manifestation, unconditional love, perseverance, grounding, and recovery. That means getting specific about what each track is trying to do, including resonance and cymatics for intention-setting, heart rate variability and coherence for emotional safety, golden ratio pacing for sustainable persistence, and 7.83 Hz grounding through the Schumann resonance to counter modern interference from constant tech noise. For deep rest, we explore theta binaural beats, the vagus nerve, and polyvagal-informed pacing designed to support caregivers and anyone running on fumes.The line we keep coming back to is simple: science is not the magic, it is the permission slip to trust what your body already knows. If your notifications, traffic, and background news are “frequencies” pressing into the clay of your attention every day, what shape are they training in you, and what would you choose instead? Listen now, then subscribe, share this with a friend who needs real recovery, and leave a review with the track you plan to start with.Fund the album here:Meditations: Positive Neural ConnectionsSend us Fan MailSupport the show

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Alpha Stuck Open: When Eyes-Open Looks Like Eyes-Closed | NeuroNoodle Neurofeedback Therapy Podcast

Play Episode Listen Later May 21, 2026 62:11

Jay Gunkelman goes in BLIND on Case 8 — a 30-year-old whose eyes-open EEG looks like eyes-closed. Alpha at 150 microvolts. Widespread. Anteriorized. Not responding to eye opening. After half a million EEGs, Jay calls the phenotype on sight: vigilance regulation problem, not attention. Left-side mu disconnect. Right-parietal alpha persistence. Frontal alpha hyper-coherence climbing from 0.5 eyes-open to 0.6+ eyes-closed — affect regulation flag. Plus a treatment map more granular than the room expected: FC beta for salience activation, C3 for language, C4 for affect, C4-to-PZ for the parietal alpha that won't quit. And a history segment most listeners have never heard — the first transmitted EEG in 1974, phase-lock loops over voice-grade phone lines, Trudy and Eric Gibbs, Larry Wood's engineering. Stay for the inter-rater reliability number that should end the classical-EEG debate: 90% on phenotypes vs 30-40% on traditional reads.

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12 Hours Pink Noise | 100Hz | Black Screen

Play Episode Listen Later May 20, 2026 720:00

This 12 hours pink noise at 100 Hz provides a soft, balanced sound environment for deep relaxation and sleep. The black screen reduces visual distractions, allowing your mind to slow down and rest.Pink noise is known for its warmer, smoother sound profile, making it ideal for stress relief, anxiety reduction, and calm focus.Frequency: 100 HzDuration: 12 HoursScreen: BlackNo visuals.No talking.Just soft sound that stays.Brown Noise Sleep SoundsSound that stays.https://distrokid.com/hyperfollow/brownnoisesleepsounds/pink-noise-2Buy me a Coffee Support me here ☕ Thank you! : buymeacoffee.com/BrownNoiseSleepSounds

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How Power Line Frequency Magnetic Fields Change Worm Behavior - And What It Means for Us

behavior scientists frequency worm hz magnetic fields powerline

Play Episode Listen Later May 20, 2026 4:39

New research reveals that sixty hertz magnetic fields -- the same frequency as our electrical power grid -- can alter protein function and change behavior in living organisms. Scientists exposed worms to magnetic fields at the exact frequency of household electricity and discovered their social feeding patterns shifted to solitary behavior. The fields altered how receptor proteins functioned in the worms' nervous systems, demonstrating a direct biological pathway for electromagnetic field effects. In This Episode How sixty hertz magnetic fields changed worm feeding behavior The mechanism behind electromagnetic field effects on membrane proteins What this reveals about power frequency field interactions with biology Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

✨ 432 Hz Sound Bath for Deep Meditation | Nervous System Reset, Focus & Relaxation, 1 Hour

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Play Episode Listen Later May 20, 2026 65:25

Hi.This is a 1 hour 432 Hz sound bath created for deep meditation, nervous system calming, focus, relaxation, and inward reset.It's built around 432 Hz resonance, layered with crystal bowls, subtle field recordings, and soft tonal sweeps designed to create a spacious, immersive listening experience that helps the mind settle and the body soften.This one is probably one of the more detailed and carefully shaped sound baths I've made.Use it for meditation, breathwork, studying, journaling, emotional decompression, prayer, or simply lying down and letting the noise of the day loosen its grip a little.The intention is simple:Calm your nervous system.Deepen your meditation practice.Support focus and mental clarity.Give your mind somewhere steady to rest.Headphones are recommended for the fullest experience, but it still works beautifully through speakers.Find a quiet spot if you can.Get comfortable.Close your eyes.Anchor into your breath.And let the sound do what it does.If your mind wanders, gently return to the vibrations. You are not doing it wrong. You are exactly where you need to be.No big promise.No magical guarantee.Just one solid hour of resonant sound, depth, and space to return to yourself.For more sound baths, meditations, ambient audio, and strange spiritual thoughts:Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot MysticFollow Idiot Mystic for more calming audio and weird little places to rest.

Chasing 10Hz: Game-Changing Neurohacks to Unlock Epic Flow States, Brain Magic, Unstoppable Peak Performance & Mental Mastery with Sports Neuroscientist Dr. Izzy Justice

The Made to Thrive Show

Play Episode Listen Later May 20, 2026 60:18

Our brain is a bioelectric organ. And the frequency of our thoughts and the extent of our stimulation is as serious as life and death. Living too often in 90 hz, that's a life of addiction. But by using neurohacks and the data from brain EEG we can all learn to chase 10 hz and live a life of flow and peak performance. And nobody has done more to champion, and importantly simplify, this paradigm than my guest today Dr Izzy.Dr. Izzy Justice is a Sports Neuroscientist who has authored 8 books over the course of 30 years on the topic of Emotional Intelligence. He was the first to integrate EQ into sports and athletic performance. He has trained and certified over 300 coaches in EQ in a wide array of sports disciplines worldwide. He has worked with athletes, coaches, and teams in NASCAR, Tennis, Soccer, Golf, Lacrosse, Basketball, Triathlon, NFL, MLB, Olympians, and many collegiate level programs. Dr. Justice's primary work is working in Corporate America with leaders of companies integrating EQ into the workplace. Get Dr Izz's new book Life Explained: Chasing 10 Hz: https://www.amazon.com/Life-Explained-Chasing-Izzy-Justice/dp/1965480365 Contact:Website - https://gyragolf.comJoin us as we explore:Why the constant stimulation in our minds is making us unwell, relentless micotraumas and why it's never in human history been harder to be mentally healthy.Why we all need to chase 10 hertz because that's where brain magic happens, the most effective ways to cultivate it and why the goal is not to stay there but find 10 hz when we most need it.Doing 10hz creating neurohacks together with Dr Izzy that anyone can do anywhere anytime.Why going from 80/90 hz thoughts to 10 hz thoughts can literally be a life or death situation.How a functional EEG is the master tool to level up your performance for the moments that matter.Why stress does not actually exist.MentionsApp - Neuro580, https://neuro580.comSupport the showFollow Steve's socials: Instagram | LinkedIn | YouTube | Facebook | Twitter | TikTokSupport the show on Patreon:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowSend me a WhatsApp to +27 64 871 0308. Disclaimer: Please see the link for our disclaimer policy for all of our content: https://madetothrive.co.za/terms-and-conditions-and-privacy-policy/

12 Hours White Noise | 100Hz | Black Screen

Play Episode Listen Later May 18, 2026 720:00

This 12 hours white noise at 100 Hz is designed to create a steady, neutral sound environment for sleep, focus, and relaxation. The black screen removes visual stimulation, helping your mind settle naturally.White noise helps block background sounds, reduce distractions, and support uninterrupted rest. Ideal for studying, meditation, anxiety relief, or overnight listening.Frequency: 100 HzDuration: 12 HoursScreen: BlackNo visuals.No talking.Just white noise that stays.Brown Noise Sleep SoundsSound that stays.Buyhttps://distrokid.com/hyperfollow/brownnoisesleepsounds/white-noise-sound-machine me a Coffee Support me here ☕ Thank you! : buymeacoffee.com/BrownNoiseSleepSounds

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OneXplayer Apex First Look. The ENDGAME PC Handheld?

Retro Handhelds Podcast

Play Episode Listen Later May 18, 2026 75:55

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Play Episode Listen Later May 17, 2026 65:36

Hi.This is a 1 hour ocean sound bath made with underwater sounds, soft ocean ambience, and 432 Hz healing tones for sleep, meditation, deep relaxation, breathwork, and quiet inward drifting.Think of it like sinking beneath the surface for a while.Not in a scary way.More like stepping out of the noisy, over-lit, notification-haunted world and entering a quieter place where everything moves slower.You'll hear underwater textures, gentle ocean sounds, slow resonant tones, and soft layers of sound designed to give your mind something peaceful to float inside. The 432 Hz tones are included because many listeners find them calming for meditation, sleep, and relaxation.No big promise.No magical guarantee.Just an hour of oceanic sound, soft frequencies, and a little room to breathe.Use this while falling asleep, meditating, journaling, praying, studying, relaxing, or lying there dramatically like a peaceful sea creature with unresolved emotional depth.Best with headphones, but still calming without them.For more sound baths, meditations, rain audio, and strange spiritual thoughts:Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot MysticFollow Idiot Mystic for more calming audio and weird little places to rest.

healing sleep ocean underwater tones hz sound bath

Play Episode Listen Later May 16, 2026 63:00

Hi.This one is a little different.Usually, I make the sound baths myself, but this episode is a carefully curated 1 hour meditation music sound bath made from calming tracks in my stock music library, blended together with the atmosphere of a heavy wind storm.Think of it as a meditation music playlist, but softened into a sound bath.You'll hear peaceful instrumental textures, 432 Hz tones, binaural beat-style elements, and stormy wind ambience woven together for sleep, meditation, deep relaxation, breathwork, studying, journaling, prayer, or just lying down and letting your brain stop acting like it has 47 tabs open.I made this because sometimes finding meditation music online can feel weirdly exhausting. Everything is either too cheesy, too commercial, too shiny, or it immediately sounds like someone is about to sell you a crystal-powered Tesla.So this is meant to be simple.No big promise.No magical guarantee.Just one hour of calming music, soft frequencies, and wind moving around everything like the world outside is being gently cleared out.Some tracks include 432 Hz tones, which many listeners enjoy for relaxation and meditation. Others include binaural beat-style elements, where each ear may receive slightly different frequencies, so headphones are recommended for the fullest experience.Use this as background music for sleep, meditation, deep breathing, reflection, or whatever strange little inner journey you are currently surviving.I hope you're doing well.And if not, I hope this helps you move a little closer.Featured music selections include tracks by Media-Music Group, Jeff Hanley, Enzo Orefice, Lance Conrad, Jonathan Mogavero, Michele Nobler, Boris Skalsky, Giuseppe Rizzo, and Natalia Kolesnikova.For more sound baths, meditations, rain audio, ocean sounds, and strange spiritual thoughts:Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot MysticFollow Idiot Mystic for more calming audio and weird little places to rest.

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Du kan ikke høre lyden - men den er ved at drive Thomas fra hus og hjem

Transformator

Play Episode Listen Later May 15, 2026 20:43

Vært Mie Stage Henrik Heide Medvirkende Thomas Græbe, it-rådgiver i Salesforce I denne uges Transformator Det lyder nærmest som brummen fra et gammelt køleskab. Hele tiden. Overalt. Det siger i hvert fald en lille del af befolkningen omkring en mindre by i det nordvestlige Sjælland. En af dem er Thomas, der har brugt talrige nætter på at jagte kilden. For om natten er alle andre lyde væk. Lyden ligger på 47 Hz. Vi er dernede hvor der er syv meter mellem toppene i lydbølgen, og det derfor er umuligt at retningsbestemme lyden. Med mindre man er Thomas, der arbejder med høreapparater og er meget stædig. Med hjælp fra sin mobil og AI gik han systematisk i gang med sin lydjagt. I denne uges Transformator er vi taget til Odsherred for at følge Thomas i jagten på de 47 Hz og for retten til stilhed. Den stilhed han flyttede på landet for at finde.

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rain relax waves beneath peaceful hz theta ad free occasional deep relaxation nature sounds distant thunder

Play Episode Listen Later May 14, 2026 538:02

Relax beneath a gentle nighttime storm with this calming soundscape featuring soft rain falling on leaves, distant rolling thunder, and subtle 7 Hz theta wave binaural beats. The delicate sound of rain landing on forest foliage creates a peaceful natural rhythm that helps quiet the mind and ease tension. Occasional distant thunder adds warmth and atmosphere without overpowering the calm environment. Beneath it all, 7 Hz theta waves guide your brain into a deeply relaxed, dreamlike state, perfect for meditation, visualization, stress relief, and peaceful sleep. -- ✨ ⁠⁠⁠⁠Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Tinnitus Masking White Noise | Sound Therapy for Ringing Ears 8 Hours

Relaxing White Noise

Play Episode Listen Later May 13, 2026 480:16

If you have a constant ringing in your ears, also known as tinnitus, then you know how disruptive it can be, especially when you are in a quiet environment like at bedtime. That ringing can make it difficult for your mind to relax and prepare for slumber, which is why we made this sleep white noise specifically for those who suffer from tinnitus. This white noise for sleeping emphasizes audio in the 8,000 Hz range which can be ideal for masking many different tones from tinnitus. Whether you need to calm the ringing in your ears to get some sleep or just need a break from it, this white noise for tinnitus masking could finally provide you some relief! While some people have found white noise helpful for temporarily masking symptoms of tinnitus, or ringing in the ears, individual experience and results may vary. It's important to consult an audiologist or your physician if your are experiencing tinnitus symptoms.Here are some great products to help you sleep! Relaxing White Noise receives a small commission (at no additional cost to you) on purchases made through affiliate links. Thanks for supporting the podcast!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Baloo Living Weighted Blankets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (Use code 'relaxingwhitenoise10' for 10% off)At Relaxing White Noise, our goal is to help you sleep well. This episode is eight hours long with no advertisements in the middle, so you can use it as a sleeping sound throughout the night. Listening to our white noise sounds via the podcast gives you the freedom to lock your phone at night, keeping your bedroom dark as you fall asleep. It also allows you to switch between apps while studying or working with no interruption in the ambient sound.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Contact Us for Partnership Inquiries⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Relaxing White Noise is the number one destination on YouTube for white noise and nature sounds to help you sleep, study or soothe a baby. With more than a billion views across YouTube and other platforms, we are excited to now share our popular ambient tracks on the Relaxing White Noise podcast. People use white noise for sleeping, focus, sound masking or relaxation. We couldn't be happier to help folks live better lives. This podcast has the sound for you whether you use white noise for studying, to soothe a colicky baby, to fall asleep or for simply enjoying a peaceful moment. No need to buy a white noise machine when you can listen to these sounds for free. Cheers to living your best life!DISCLAIMER: Remember that loud sounds can potentially damage your hearing. When playing one of our ambiences, if you cannot have a conversation over the sound without raising your voice, the sound may be too loud for your ears. Please do not place speakers right next to a baby's ears. If you have difficulty hearing or hear ringing in your ears, please immediately discontinue listening to the white noise sounds and consult an audiologist or your physician. The sounds provided by Relaxing White Noise are for entertainment purposes only and are not a treatment for sleep disorders or tinnitus. If you have significant difficulty sleeping on a regular basis, experience fitful/restless sleep, or feel tired during the day, please consult your physician.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Relaxing White Noise Privacy Policy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠© Relaxing White Noise LLC, 2026. All rights reserved. Any reproduction or republication of all or part of this text/visual/audio is prohibited.

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sleep ocean shallow hz ambience deep relaxation pure water water sounds

Play Episode Listen Later May 13, 2026 62:19

Hi.This is one full hour of shallow water sounds for sleep, deep relaxation, meditation, studying, journaling, stress relief, or just gently unplugging from the world for a while.No 432 Hz.No healing tones.No music.No dolphins whispering sacred geometry into your subconscious.Just soft, lapping, shimmering water.This episode is built around calm shallow water ambience, the kind of sound that gives your mind something simple to rest on while your body slowly realizes it does not need to stay tense forever.The visual for this one is a surreal, Frutiger Aero-ish bubble floating in shallow blue water — calm, glossy, slightly nostalgic, and a little dreamlike, like something you almost remember from a gentler internet that may or may not have existed.Use this while falling asleep, resting, breathing, working, praying, or trying to be soft with yourself after another strangely exhausting day of being alive.Best with headphones or a speaker at a low, comfortable volume.Let the shallows hold you.For more sound baths, meditations, rain audio, ocean sounds, and strange spiritual thoughts:Website: https://www.idiotmystic.comDiscord: https://discord.gg/dXKjhZrZmMInstagram: @idiotmysticTikTok: @idiotmysticYouTube: Idiot MysticFollow Idiot Mystic for more calming audio and weird little places to rest.

HPR4638: Simple Podcasting - Episode 3 - Analyzing and Filtering

Hacker Public Radio

Play Episode Listen Later May 13, 2026

This show has been flagged as Clean by the host. 01 This is the third in a four part series on simple podcasting. 02 In this episode we will cover the following topics: Analysis of audio noise problems and filtering methods used to deal with specific problems that we may find. Command line recording. Command line playback. Getting information about an audio recording. 03 Introduction When I did my first couple of podcasts I didn't notice that there was a quiet high pitched whine or buzz in the background. Nobody complained about it, but I thought I could do better in subsequent episodes. 04 Creating an Audio Sample If you have a similar problem, the first step is to find out where it is coming from. If there is no audible noise where you are recording, there is a good chance the problem is in the microphone or another part of the audio system. Plug in your microphone and record 2 or 3 seconds of quiet audio where you do not speak into the microphone or make other noise. 05 You will need a minimum amount of data in order to analyze it. For a flac file sampled at 44.1 kHz, 2 to 3 seconds of data should be enough. To get a sample of just electronic noise you can put the microphone in a drawer or somewhere like that if you want to be sure of getting a quiet signal. Any sound recorded in this way should be mainly from the microphone or other electronic elements in the analogue pathway. To get a sample of possible ambient noise, such as fans, make sure the microphone is in the open air in an area which is representative of where it will be when you are recording. -------------------- 06 Analyzing using Fourier Transforms Next you need to look at the wave form. At this point I will describe this using Audacity. I will show other ways later, but Audacity is actually the easiest if you are starting from nothing. You don't need to become an expert in Audacity to use it, just follow the steps I will describe. I myself don't know how to use Audacity beyond using this one feature. 07 We are going to analyze the sound spectrum in our sample. The technique being used is a Fourier Transform. A Fourier transform, often called an "FFT" for fast fourier transform, is a mathematical method of showing a signal in terms of frequency along the x axis instead of time. This allows us to spot troublesome noise frequencies which appear when we don't want them to. The FFT is a very common mathematical technique which is widely used in signal processing, not just in audio. 08 There is software which will create pretty coloured animations of sound waves, but this is not what you want. These are simply decorative patterns and won't tell us what we want to know. -------------------- 09 Using Audacity Install Audacity if you haven't already. Start Audacity. Select file > import > audio, then navigate to your sample and select "open". The file should load. 10 In the wave form part of the window, click anywhere and then type Ctrl-S to select all data points. The chart should turn a slightly darker colour. From the menu, select Analyze > Plot Spectrum. A new window will open, showing magnitude in db on the Y axis, and frequency in hertz on the x axis. For "algorithm" be sure it is set to "spectrum" 11 There are now two settings that we need to play with while we look for problems. One is "size" The default for this is 1024. The other is "axis". The default for this is "log frequency". -------------------- 12 What to Look For What we are looking for are large obvious spikes that stand out in the data. Since our test signal has very little to no actual audio data, any spikes should represent electrical or other noise that doesn't belong there. 13 I have found two combinations of settings to be most helpful in finding problems. These are Size 2048, axis linear frequency. Size 32768, axis log frequency. 14 A small size value can help very narrow spikes stand out from the background more, while a large size value can help separate spikes from surrounding noise. A linear frequency axis can help with seeing all spikes across the full frequency range, while a log frequency axis can help to better see what is happening in the often very crowded lowest frequency range. -------------------- 15 A Real Example of an Audio Problem If you have good audio equipment you may find nothing obvious. If you cannot hear any noise in the signal, there may be none of any consequence and there is nothing for you to do. 16 However, in my case I found two main problems and one lesser one. One problem was a spike at 60 Hz, which is the AC line frequency. There is also a lesser problem of a collection of a broad frequency range of noise below 60Hz. Both of these however will be taken care of by the basic filtering that we looked at earlier so we do not need to worry about them here. 17 The other main problem is I had a large spike at every 1 kHz interval from 1 kHz to 19 KHz. This was noise generated within the head set electronics, or the result of noise on the USB power supply. This is the product of a cheap headset. 18 These spikes are not very large compared to the volume of my voice, but if I do the same sort of analysis of samples where I am speaking, they appear in the intervals between words. This results in a high pitched whine or buzz. This was the source of the background noise or buzz in my first two podcast episodes. I need to get rid of this. 19 One option would be to get a better microphone, but, well, that wouldn't be any fun would it. It would also cost money and I don't want to spend any of that if I don't have to. If you analyze your own signal, you may find a different pattern, or even no noise at all. If you did not find anything when shielding your microphone from ambient audio noise, repeat the same test but with the microphone exposed to acoustic noise in the room. -------------------- 20 Advanced Filtering The next step is to figure out how to get rid of this noise. I have called this section "advanced filtering", but we are actually just making use of a technique that was already covered in basic filtering. 21 To deal with the remaining spikes we can use additional "band reject" filters, each of which removes a specific frequency at 1 kHz intervals from 1 kHz to 12 kHz. We will use this in combination with the filtering that we have already done previously, so we don't need to worry about anything above 12 kHz as we already remove that with a low pass filter. After a small amount of experimenting I came up with the following. 22 Because I am applying a total of 16 filters, 4 for basic filtering and 12 to deal with the specific microphone problems that I have, I have broken up the filters into separate strings. I then generate the 12 new band reject filters from a template. Note that I don't show the "de-esser" filter here. I would recommend adding it as a separate step after doing the sort of filtering we are talking about here. 23 Rather than reading out multiple lines of bash script, I will post them in the show notes. I will give a brief description of them here which you can refer to when reading the show notes. The FFMPEG and Sox versions are very similar in concept so I don't need to go over the Sox version in detail. See the show notes for it. FFMPEG Version Here's the FFMPEG version. # The high and low pass filters. hlpfil="highpass=f=80, lowpass=f=12000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Create a series of band reject filters, from 1 kHz to 12 kHz. # Change or remove this part if your recording hardware does not require it. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 12 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i input.flac -af "$hlpfil, $linefil, $kilospikefil" output.flac 24 There are a total of 5 lines of bash script. In the first line, we create a string called "hlpfil" which is just the high and low pass filters copied from our previous discussion on basic filtering. In the second line, we create a string called "linefil" which is just the simple bandreject filters to cover 50 and 60 hertz AC line noise filters also from basic filtering. 25 In the third and fourth lines, we create a string called "kilospikefil" containing the new filters. The "f" parameter represents the frequency we are targeting. The "w" parameter represents the "width" of the frequency range we are filtering in terms of hertz. The filter is applied gradually rather than with a sharp cut-off, so to get more filtering action we need to have larger width. In this case I decided to hammer the spike quite aggressively and so used a relatively wide width of 100 hertz. Testing with a voice file did not show any noticeable distortion, so it's an acceptable solution. 26 For this filter we need to create a dozen filter command so we use the shell "seq" command to generate a sequence of numbers from 1 to 12. We then pipe that into the xargs command which applies each number to the next command. The next command is "printf", which takes the number it gets from xargs and applies it to the "ftemplate" string template in a manner very similar to C programming printf string templates. 27 We also have a comma in there to separate each of the individual filters. We then surround this with a $ and () so we can run the command and capture the output into a variable. Then we call ffmpeg and pass it the filters we created by putting the variable names inside a double quoted string, separated by commas. All of this will be in the show notes, so don't worry about trying to get the exact details right now. Sox Version Here's the Sox version. # The high and low pass filters. sxhlpfil="highpass 80 lowpass 12000" # Band reject filters filter for 60Hz and another for 50Hz. sxfilter="$sxhlpfil $sxkilospikefil bandreject 60 20 bandreject 50 20" # Create a series of reject filters filters, from 1 kHz to 12 kHz. sxftemplate="bandreject %s000 100" sxkilospikefil=$( seq 1 12 | xargs printf "$sxftemplate " ) # Using SOX. sox input.flac output.flac $sxhlpfil $sxfilter $sxkilospikefil 28 The Sox version is very similar with the exception that the command arguments representing the filters must not be in quoted strings as Sox wants to see them as separate arguments instead of parsing a string. -------------------- 29 Confirming the Effect If we apply the above filters and look at this headset noise output file in the Audacity spectrum analyzer we will now see that these noise spikes are almost completely gone. We can now confirm how well this works by using a test audio file. Any normal short voice audio file will do for this. Just talk into the microphone normally and create a voice sample file that is 5 or 10 seconds long, or whatever you feel comfortable with. 30 With the original unfiltered voice audio I can hear a distinct high pitched whine overlaying the voice. With the filtered audio that whine or hum is not detectable. If we then look at the voice file in the Audacity spectrum analyzer, we can see distinct "notches" at the 50 Hz and 60 Hz frequencies, and at every 1 kHz from 1 kHz to 12 kHz. These notches are narrow enough that they won't cause a noticeable problem with voice signals. If we apply this filter to voice samples, the buzz or whine is gone and the voice signal sounds fine. Despite using a very cheap microphone, I now have acceptable quality audio for a podcast. 31 Again I want to emphasize that in this instance I am dealing with deficiencies with my hardware instead of buying a better microphone. These additional filters are intended to deal with the specific hardware problem I am facing. You don't need these additional filters if you cannot detect an audible problem. On the other hand, if you have a different problem you may wish to deal with a different set of frequencies. Finding these problems is the reason for using a spectrum analyzer. 32 FFMPEG has other filtering methods as well. However, as I didn't end up using them I can't really do an adequate job of describing them. If anyone has used them successfully, they are welcome to make a podcast on the subject. -------------------- 33 Completing the Process With these new filters added into the middle of the processing steps, you can now complete the processing by doing the de-essing, normalizing, and review steps as described in the previous episode. -------------------- 34 Command Line Recording I will now cover a separate topic, which is recording using command line programs. I am covering it in this episode as it is a short topic and it is convenient to talk about it here. 35 As well as using GUI based recording programs such as Gnome Sound Recorder, it is possible to record podcast episodes using command line tools such as FFMPEG. As for why you may wish to use command line tools to record audio, there are several reasons. One is that you may simply prefer to do it this way because it pleases you to do so. Another is that it allows the recording step to be included in a script that encompasses other parts of the process, automating what may have otherwise been separate manual steps. 36 However, if you don't find these arguments particularly compelling, then I'm not going to attempt to persuade you to use the command line to record audio. I am doing this part of this episode out of a desire to have a bit of fun and I probably won't be using it much myself. I will however use one of these methods to record this part of this episode. 37 Recording with FFMPEG - The Basics One of the common command line tools you can use is FFMPEG, a package which I have previously mentioned with respect to filtering audio files. Here is an example of how to record using FFMPEG. We call FFMPEG specifying the audio input system as the FFMPEG input, and then specify a file to output to. 38 # Record audio. ffmpeg -f pulse -i default ff.flac 39 Press 'q' to stop. This uses pulse audio on Linux for input "-f pulse", and the default input "-i default". However, this does not specify the the sample rate or mono recording. To do that we need to add a few more parameters as in the following 40 ffmpeg -f pulse -i default -ac 1 -ar 44100 ff.flac 41 "-ac 1" specifies mono output "-ar 44100" specifies 44.1 khz bit rate. 42 Playback with FFMPEG - The Basics FFMPEG can also play back music. In this case however we need to call the "ffplay" program rather than FFMPEG itself. To play an audio file, simply call ffplay and give it the name of the audio file as an argument to the command. For example: 43 # Play an audio file. ffplay podcast.flac 44 We can also call it with the "autoexit" option, which tells ffplay to automatically exit when the audio file has finished playing. ffplay -autoexit ff.flac 45 -autoexit means Exit when the audio file is done playing. 46 To exit in the middle of the recording, press "q' or ESC. To pause the playback, press "p" or space bar. To decrease the volume press "9" or "/". To increase the volume press "0" or "*". 47 To seek forward 10 seconds, press the right cursor button. To seek backward 10 seconds, press the left cursor button. To seek forward 1 minute, press the up cursor button. To seek backward 1 minute, press the down cursor button. 48 The "0" and "9" keys mentioned above are those on the top row of the keyboard, not the ones on the separate numeric pad. 49 While the recording is playing, a graphical window will open which shows a cascading waveform based on the current content. This is purely decorative and does not serve any particularly useful purpose. -------------------- #!/bin/bash # Record a podcast episode segment. # Get the next file name. # First we check if any matching file patterns exist. If they don't, # then we create the first one starting counting at 1. fcount=$( ls [0-9][0-9].flac 2>/dev/null | wc -l ) if (( $fcount < 1 )); then fname="01.flac" else # If there are any matching file patterns, we find the highest number # and increment it by 1. filenum=$( ls [0-9][0-9].flac 2>&1 | cut -d. -f1 | sort | tail -1 ) newfilecount=$(( 10#$filenum + 1 )) fname=$( printf "%02d.flac" $newfilecount ) fi echo "Recording to: $fname" # Record using ffmpeg. # This makes use of pulse audio and the input is the default audio input. # The sample rate is set to 44.1 kHz, and it is recorded as mono (1 channel). ffmpeg -f pulse -i default -ar 44100 -ac 1 $fname echo "Recorded audio to: $fname" # Report on basic information about the audio file that was just recorded. ffprobe -hide_banner $fname -------------------- 50 Sox - Not so Good I did not find the recording or playback features of Sox to be as useful as those of FFMPEG, so I won't bother to cover them here. -------------------- 51 Getting Information About an Audio Recording There are also command line tools which can be used to retrieve information about audio recordings. 52 FFMPEG Version With FFMPEG this is called "ffprobe". For example: 53 ffprobe hpr4566.mp3 54 This will print out a lot of information about FFMPEG itself. To skip that use the hide_banner option. 55 ffprobe -hide_banner hpr4566.mp3 56 This will print out information about the audio recording. This will include things like the duration, bit rate, sample rate, stereo or mono, etc. If the author added metadata tags to the file, it will also show those. HPR add things like the title, author, copyright license, comment, etc. You can extract the ones you want using something like grep and cut. 57 Sox Version Sox has a similar feature, called "soxi". 58 soxi ff.flac 59 However, it may not work on mp3 files if you do not have an mp3 handler for it installed. -------------------- 60 Conclusion In this episode we took a brief look at an example of how to solve an audio problem through filtering. We looked at how to use Audacity to find where the problems were. We then looked at how to apply filters to remove these sources of noise. We also looked at how to record podcasts and get information about audio files using command line tools. 61 In the next episode we will look at alternatives to Audacity for analyzing audio. While Audacity works just fine, this is an opportunity to have a bit fun with some gratuitous hackery. 62 This has been the third episode in a four part series on simple podcasting. -------------------- -------------------- Full Audio Processing Pipeline This version includes the special filters used to fix my headset problems. Use the version from the previous episode if you do not have the same audio hardware problems. #!/bin/bash # Full processing pipeline for making simple podcasts. # ====================================================================== # Concatenate multiple flac files into a single flac file. # This is used to combine podcast recorded segments into a single # flac file for uploading to HPR. concataudio () { outputname="$1" # First create the list file. printf "file '%s'n" [0-9][0-9].flac > podseglist.txt # Now concatenate them ffmpeg -f concat -safe 0 -i podseglist.txt "$outputname" rm podseglist.txt } # ====================================================================== # Basic and advanced filters. filter () { inputfile=$1 outputname=$2 # Using ffmpeg. # The high and low pass filters. hlpfil="highpass=f=80, lowpass=f=12000" # Band reject filters filter for 60Hz and another for 50Hz. linefil="bandreject=f=60:width_type=h:w=20, bandreject=f=50:width_type=h:w=20" # Create a series of band reject filters, from 1 kHz to 11 kHz. ftemplate="bandreject=f=%s000:width_type=h:w=100" kilospikefil=$( seq 1 11 | xargs printf "$ftemplate," ) # Using ffmpeg ffmpeg -i $inputfile -af "$hlpfil, $linefil, $kilospikefil" $outputname } # ====================================================================== # De-Essing. deessing () { inputfile=$1 outputname=$2 option=$3 # De-essing filter. ffmpeg -i $inputfile -filter_complex "deesser=i=0.5:m=0.5:f=0.5:s=$option" -b:a 336k -sample_fmt s16 $outputname } # ====================================================================== # Normalizing the audio to EBU R128 standard for review using ffmpeg. normffmpeg () { inputfile=$1 outputname=$2 # Normalize to EBU R128 standard. ffmpeg -i $inputfile -af loudnorm=I=-17:TP=-2.0:LRA=4.0 -ar 44.1k $outputname } # ====================================================================== # Output an MP3 version to help with reviewing. mp3convert () { inputfile=$1 # Get the name of the file and then create the output file name. j=$( basename $inputfile ".flac" ) outputname="$j"".mp3" # Convert to MP3. ffmpeg -i $inputfile $outputname } # ====================================================================== # Concatenate the separate audio files. concataudio fullpod-unfiltered.flac # Basic filtering. filter fullpod-unfiltered.flac filtered.flac # De-essing. This is the version to send for publishing. # The third argument should be "o" for de-essing, or "i" for pass through without de-essing. deessing filtered.flac fullpod.flac o # Normalized for review. normffmpeg fullpod.flac fullpod-norm.flac # Output an MP3 copy for review. mp3convert fullpod-norm.flac -------------------- -------------------- Provide feedback on this episode.

change simple podcasting record band testing recording exit basic ac command analysis analyzing plug esc select convert audacity usb linux analyze completing normalizing output normalize tp sox filtering hz confirming playback normalized khz fourier fft lra ffmpeg 60hz hpr 50hz ctrls fourier transform concatenate ebu r128

How Power Line Frequencies Changed Worm Behavior - And What It Means for Your Brain

brain behavior worm frequencies hz powerline

Play Episode Listen Later May 12, 2026 4:55

New research shows that sixty hertz magnetic fields -- the same frequency as your electrical power grid -- can alter protein function and change social behavior in living organisms. In this episode, I break down a fascinating study where researchers exposed worms to power-line frequency magnetic fields and discovered their feeding behavior shifted from social to solitary patterns. The magnetic fields directly altered how receptor proteins functioned in the worms' nervous systems, revealing a biological pathway we're only beginning to understand. In This Episode How sixty hertz magnetic fields changed worm social behavior Why this frequency matters for human health What fifty millitesla exposures tell us about everyday EMF Simple steps to reduce your power-frequency exposure Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

IRH 277: FBI Delivers UAP Files, Luna Saw Non-Human Objects & Grush's 60-Day Timeline

Infinite Rabbit Hole

Play Episode Listen Later May 12, 2026 28:00

FBI delivers first UAP files, release "very soon." Congresswoman Luna saw non-human objects in classified facility. Grush: 60-90 days. Loureiro case closed—personal grudge, not conspiracy.May 5th: FBI Director Patel confirms first wave delivered to Pentagon committee. Grush warns disclosure tipping point in 60-90 days, forces still suppressing files.April 29th: Congresswoman Luna (House Oversight chair): "I observed things of non-human origin." Pyramid craft deflecting missiles. When declassified, she'll hold press conference showing public what she saw.Trump confirmed alien.gov as portal. Kirkpatrick tempers expectations—likely weak sensor data, not alien interviews.Loureiro resolved: 30-year grudge, no classified connection. McCaslin, Garcia, Chavez, Casillas, Riza, Eskridge still open.Infrasound study: 18 Hz below hearing raises cortisol, creates haunted feeling. Vic Tandy traced ghost to fan.

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Play Episode Listen Later May 11, 2026 536:10

Drift into deep, restorative sleep with Sleepy Night Forest, a calming soundscape blending peaceful ambient sleep music, gentle night forest sounds, and subtle 4 Hz delta wave binaural beats. Soft rain falls through the trees as a cool forest wind moves quietly through the leaves. Night insects create a steady natural rhythm beneath the stars, surrounding you in the peaceful atmosphere of a sleepy woodland after dark. Beneath it all, 4 Hz delta waves gently guide the brain toward the deepest stages of restorative sleep, helping the body relax fully while quieting the mind. -- ✨ ⁠⁠⁠Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

night rain delta wave soft beneath drift winds sleepy hz ad free binaural beats sleep music

Maternal Calm (5min) - Sound Therapy for Caregiver Reset

Play Episode Listen Later May 10, 2026 5:27

This episode is designed to nurture caregivers through the frequencies of safety, love, and biological attunement. It supports nervous system regulation, emotional warmth, and the deep calm that can only be found when the body finally feels safe enough to release.The Frequencies528 Hz and 285 Hz create a nurturing harmonic environment long associated with cellular healing and a felt sense of safety, supporting the maternal nervous system during periods of heightened biological demand. 40 Hz gamma activates cognitive clarity and neural coherence for the caregiver whose mind has been stretched thin. 10 Hz alpha invites the brain into its relaxed, receptive wave state, the threshold of restoration.The Architecture of the SoundBinaural delivery. Triads built on C, E, and G, the harmonizing chord that opens the root, solar plexus, and throat, restoring the caregiver's foundation, inner power, and expressive voice. Gamma waves above 20 Hz for clarity. Alpha waves between 7 and 13 Hz for rest.The InstrumentsCrystal singing bowls for cellular tone and clarity. Human voice for the ancient, maternal resonance that the body recognizes as love.Why Sound Restores the CaregiverCaregiving holds the nervous system in chronic vigilance. Shoulders up. Breath shallow. Heart working overtime. Sound therapy meets the body where words cannot reach. Research in polyvagal theory, brainwave entrainment, and heart rate variability confirms that sustained exposure to coherent frequencies downregulates the stress response, slows respiration, and returns the body to its natural healing rhythm.Your body remembers how to rest. These frequencies simply remind it.Recommended any time the demands of caregiving have depleted your sense of inner peace.Best experienced with headphones in a quiet space.Send us Fan MailSupport the show

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Maternal Calm (GUIDED) - Sound Therapy for Caregiver Reset

Play Episode Listen Later May 10, 2026 22:55 Transcription Available

You can be incredible at caring for other people and still be running on empty. When you're the steady presence in birth, recovery, exhaustion, and change, your body often stays locked in high alert long after the room gets quiet. That's not weakness. That's a nervous system that has been sprinting for too long, and it deserves a real reset.We walk through what depletion looks like in the body, how sympathetic activation crowds out rest, and why so many caregivers can't settle even when they finally stop moving. Then we get practical with sound healing you can actually use: slow breath, vocal toning, and a simple “Ah” practice designed to lengthen the exhale and cue safety. We also explore the science adjacent ideas behind humming for vagus nerve support, nitric oxide, heart rate variability, and theta brainwave entrainment for anxiety relief and deep calm.From there, we shift into pure receiving with a soundscape built around 432 Hz resonance, theta binaural beats, and the intention often associated with 528 Hz and 639 Hz frequencies. The thread running through it all is simple and demanding: unconditional love is the primary healing energy, and it has to begin inside your own body before you can keep giving it away.If you know someone who is holding everyone else together, share this with them. Subscribe, leave a review, and tell us what you felt after the reset practice.Send us Fan MailSupport the show

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Maternal Calm (15min) - Sound Therapy for Caregiver Reset

Play Episode Listen Later May 10, 2026 15:27

ai sound research heart built human calm reset breath alpha architecture powered slide recommended caregivers shoulders maternal gamma hz sound therapy triads 15min add your voice

God Awful to Terrible: Jay Reads the Salience Network | NeuroNoodle Neurofeedback Therapy Podcast

Play Episode Listen Later May 7, 2026 51:39

Jay Gunkelman goes in BLIND — no diagnosis, no report, no hints. Just the EEG that Joshua Moore reviewed live with the panel on The Brain Bar the night before. Two recordings, two months apart, unknown treatment in between.Jay's read: low voltage slow, diffuse encephalopathy, salience network packed with delta, right anterior insula involvement, cardio-ballistic screaming Pickwickian sleep apnea. The kicker? When Joshua revealed the case on Brain Bar, the patient HAS a confirmed sleep apnea diagnosis. Jay called it from the waveform alone.The full reveal: live-in-nurse-revoked patient who regained dressing, feeding, and recognition. OSHA reached out asking what they did. Jay's verdict: god awful to terrible. That's the line.

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How Power Line Frequencies Change Animal Behavior at the Cellular Level

Play Episode Listen Later May 7, 2026 4:55

New research reveals that sixty hertz magnetic fields -- the same frequency as our electrical power grid -- can alter protein function and change behavior in living organisms. In this episode, R Blank explores groundbreaking research showing how power-line frequency magnetic fields affected feeding behavior in laboratory worms by disrupting cellular communication proteins. We'll examine what this means for understanding how electromagnetic fields interact with biological systems and discuss practical steps you can take. In This Episode How sixty hertz magnetic fields changed worm feeding patterns The biological mechanism behind electromagnetic field effects on proteins What power-line frequency exposures mean for daily life Featured Study Read the full study: Effect of 60 Hz magnetic fields on social feeding behavior of npr-1 receptor mutants in Caenorhabditis elegans See all studies at shieldyourbody.com/research

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⛈️ 8 hours of Piano & Thunder for the Perfect Deep Sleep [1 Hz] Delta Waves, Ambient Piano Music, & Thunderstorm

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Play Episode Listen Later May 7, 2026 534:40

Drift into profound rest with Piano & Thunder for the Perfect Deep Sleep, a deeply calming soundscape blending ambient piano music, a soothing thunderstorm ambience, and powerful 1 Hz delta wave binaural beats. Soft, slow piano melodies create a warm and peaceful emotional atmosphere, while steady rainfall and distant rolling thunder provide a comforting natural rhythm that quiets the mind and masks distractions. Beneath it all, 1 Hz delta waves gently guide the brain into the deepest stages of restorative sleep, supporting full-body relaxation, recovery, and uninterrupted rest throughout the night. -- ✨ ⁠Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Sink, surface

Cities and Memory - remixing the sounds of the world

Play Episode Listen Later May 6, 2026 8:31

"At this segment of the Lech, the river has left its Alpine origins – its wild and icy rapids are just a memory. Data suggest that the Lech is “heavily modified” by human intervention (i.e., channelization, hydroelectric stations). However, at this point in its journey to the Danube, the river Lech (described as “widely lacking natural geomorphic dynamics”) does not merit restoration plans. Here, it seems to be considered nothing special or remarkable. Yet I was drawn to the “humming of the power station” in the field recording. This hypnotic sound highlights the nearby human activities that draw power from the Lech's steady flow. "The Wasserkraftwerk's low drone beneath the lively rush of water awakened my examination of the relationship between nature and technology. In creating “Sink, Surface,” I imagined timeless naiadic spirits becoming entranced by the incursion of human technomagic. Their chaotic, playful noises settle into harmonic relation with the device's drone. "When I first heard that drone, I assumed 50Hz would be most prominent. However, listening deeply and vocalizing along with the rich hum, I found amplitude peaks: at (roughly) 138 Hz, 207 Hz and 350 Hz – very easily translated into a D♭major triad. I decided to filter sweep the white noise of the river itself to alternately remove and enhance the harmonic aspects of the machines. I then vocalized in various styles and timbres for use as compositional materials. I also played with the asymmetrical stereo of the original recording, first filling in the full stereo field, then at the end swapping the louder left channel to the right – a mirror image that reflects one's change upon emerging from the depths. "How do how human endeavours both rely and impinge upon our ecological contexts? As an imaginary (re)mystification of the River Lech, “Sink, Surface” seeks to dissolve the false divide between the natural world and the human. It invites listeners into the liminal space of the Lech – where the power station emerges a vibrant, animating presence and the river's sounding spirits call us to experience our own embodied inner flows."Section of the river Lech reimagined by Gretchen Jude. -------Flow is a creative exploration telling the story of a river through the power of sound. The project is a collaboration between the University of Padova and the University of Würzburg, with support from Cities and Memory. Explore the full project at https://citiesandmemory.com/flow.

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The Mechanics of Magick: Flicker Light and the Brain's Hidden Geometry

TheOccultRejects

Play Episode Listen Later May 4, 2026 67:13 Transcription Available

If you enjoy this episode, we're sure you will enjoy more content like this on The Occult Rejects. In fact, we have curated playlists on occult topics like grimoires, esoteric concepts and phenomena, occult history, analyzing true crime and cults with an occult lens, Para politics, and occultism in music. Whether you enjoy consuming your content visually or via audio, we've got you covered - and it will always be provided free of charge. So, if you enjoy what we do and want to support our work of providing accessible, free content on various platforms, please consider making a donation to the links provided below. Thank you and enjoy the episode!Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Cash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsBibliography / Show NotesAmaya, I. A., Behrens, F., et al. “Effect of Frequency and Rhythmicity on Flicker Light-Induced Visual Hallucinations.” PLOS ONE, 2023.Key use: frequency, rhythmicity, 10 Hz flicker, Klüver forms.Shenyan, O., Lisi, M., Greenwood, J. A., Skipper, J. I., & Dekker, T. M. “Visual Hallucinations Induced by Ganzflicker and Ganzfeld Differ in Frequency, Complexity, and Content.” Scientific Reports, 2024.Key use: Ganzfeld vs. Ganzflicker.Bressloff, P. C., Cowan, J. D., Golubitsky, M., Thomas, P. J., & Wiener, M. C. “Geometric Visual Hallucinations, Euclidean Symmetry and the Functional Architecture of Striate Cortex.” Philosophical Transactions of the Royal Society B, 2001.Key use: form constants, tunnels, spirals, lattices, honeycombs, visual cortex modeling.Bressloff, P. C. “What Geometric Visual Hallucinations Tell Us About the Visual Cortex.” Neural Computation, 2002.Key use: Klüver form constants and visual cortex explanation.Mauro, F., et al. “A Bidirectional Link Between Brain Oscillations and Geometric Patterns.” Journal of Neuroscience, 2015.Key use: brain oscillations and geometric visual patterns.Hewitt, T., et al. “Stroboscopically Induced Visual Hallucinations.” Neuroscience of Consciousness, 2025.Key use: history and science of stroboscopic hallucinations.Netherlands Institute for Neuroscience. “Hallucinations from Flickering Lights: What Happens in Our Brain?” 2024.Key use: standing waves / visual cortex explanation.Purkinje, J. E. Early 19th-century writings on subjective visual phenomena and flicker effects.Key use: historical scientific observation of flicker-induced visual effects.Klüver, H. Mescal and Mechanisms of Hallucinations. University of Chicago Press, 1966.Key use: form constants: tunnels, spirals, lattices, cobwebs.Epilepsy Foundation / clinical photosensitivity guidance.Key use: photosensitive epilepsy safety warning; flashing lights and visual patterns can trigger seizures in susceptible people.“Visually-Provoked Seizures: Consensus of the Epilepsy Foundation of America Working Group.” Epilepsia.Key use: safety, photosensitive seizure risk.Ofcom / broadcast photosensitive epilepsy standards and strobe-light safety cases.Key use: real-world risk from rapid flashing light in media environments.Extra useful context sourcesGysin, B., and Sommerville, I. Dreamachine-related writings and documentation.Key use: 20th-century flicker device, art, counterculture, visionary technology.Huxley, A. The Doors of Perception.Key use: altered perception context, though not specifically flicker science.Lewis-Williams, D. The Mind in the Cave.Key use: cave art, altered states, entoptic imagery, visionary interpretation.Eliade, M. Shamanism: Archaic Techniques of Ecstasy.Key use: older ritual technologies of altered states; use carefully as historical theory.Tart, C. T., ed. Altered States of Consciousness.Key use: broader academic framing for non-ordinary states.Vaitl, D., et al. “Psychobiology of Altered States of Consciousness.” Psychological Bulletin, 2005.Key use: general altered-state science framework.Also want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. Now let me introduce the rest of the panel and guests.

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1 Hour 432 Hz Sound Bath

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Play Episode Listen Later May 4, 2026 71:46

Hi.It's us… in this little text box again.This is a 1-hour sound bath built around 432 Hz tones, soft synth waves, and a low constant layer sitting underneath everything.You might not notice that lower tone right away…but it's there… holding things together in the background.Kind of like something steady you can come back to.There's a short spoken intro at the beginning so this can exist here as a podcast.If you'd rather skip that, you can jump ahead a bit and go straight into the sound.If you want to engage with it more intentionally, you can try a simple breathing pattern:Inhale through your nose for 4…hold for 4…and exhale slowly for 6.Or don't.You can just lie there…stare at the ceiling…or let it play while you drift off.This works as a lullaby, a reset, or just something to sit with when everything feels a bit too loud.I've been thinking a lot about all of this lately.The titles, the thumbnails, the schedules…and how easy it is to forget why any of this started.Truth is… making these helps me.So if you're here listening… you're not just some future audience.You're kind of the whole point.If this helps even a little, feel free to follow.I'll be uploading more of these from the past year soon.If you want to connect:Discord: https://discord.gg/dXKjhZrZmMTikTok: https://www.tiktok.com/@idiotmysticInstagram: https://www.instagram.com/idiotmysticThere's also writing at https://idiotmystic.com —I'm always adjusting and adding to it over time.I'm glad you're here.

Play Episode Listen Later May 4, 2026 537:52

Unwind beside a warm, glowing fire with Healing Fireplace, an 8-hour immersive soundscape blending tranquil ambient music, the gentle crackle of a relaxing fireplace, and subtle 9 Hz alpha wave binaural beats. The steady rhythm of the fire creates a cozy, grounding atmosphere, while soft ambient melodies bring emotional warmth and calm. Beneath it all, 9 Hz alpha waves help guide your mind into a state of relaxed awareness, mental clarity, and stress relief, perfect for unwinding at night or finding calm focus during the day. -- ✨ Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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BCIA Says Wrong, Neurology Says Right: Jay Cold-Reads 50yo Brain

Play Episode Listen Later Apr 30, 2026 44:51

BCIA would mark this EEG wrong — Jay Gunkelman calls it vascular ischemia anyway. Jay goes in **blind** — no diagnosis, no report — and disagrees with Joshua's TBI read on the exact same 50-year-old EEG. Joshua reviewed it live on The Brain Bar the night before. The next day on Thursday Carnac, Jay cold-reads the slow alpha at PZ, lands on hyperbaric + 40 Hz photobiomodulation, and shows how neurofeedback fits into the treatment plan. Read the brain, treatment follows the brain. The story doesn't matter.

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Play Episode Listen Later Apr 30, 2026 533:04

Sink into the quiet depths with Deep Sea Relax, an 8-hour immersive soundscape blending soothing ambient sleep music, peaceful underwater ocean sounds, and subtle 2 Hz delta wave binaural beats. Soft ocean currents, distant aquatic textures, and gentle echoing tones create a calm, weightless environment that helps quiet the mind and release tension. The ambient music adds warmth and serenity, while 2 Hz delta waves guide your brain into the deepest stages of restorative sleep, supporting full-body relaxation, recovery, and uninterrupted rest. -- ✨ Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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233 - İnsanın Kehanet Sevdası

Barış Özcan ile 111 Hz

Play Episode Listen Later Apr 27, 2026 30:25

Falcılık geleneği tarihin kendisi kadar eski. Fakat diğer geleneklerin aksine günümüzde daha bile güçlü devam ediyor. Bilimsel gelişmeler bile fala olan inancımızı sarsamadı. Peki nereden geliyor bu kehanet ihtiyacımız? 111 Hz'in bu bölümünde insanın falla olan sonsuz ilişkisini irdeliyoruz. Sunan: Barış Özcan Yazan: Elif Danyal Ses Kurgu: Metin Bozkurt Video Kurgu & Görsel Tasarım: Umut Güloğlu Yapımcı: Podbee Media Tüm bölümler ve daha fazlasına Podbee app ve podbeemedia.com'dan ücretsiz olarak ulaşabilirsiniz. ----- Podbee Sunar ------- Bu podcast reklam içermektedir.

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Play Episode Listen Later Apr 27, 2026 533:34

Escape to a peaceful shoreline with 432 Hz Relaxing Day at the Beach with 6 Hz Theta Waves, a soothing soundscape blending 432 Hz ambient sleep music, gentle ocean wave ambience, and subtle 6 Hz theta wave binaural beats. The 432 Hz frequency is often associated with harmony, emotional balance, and natural calm, helping the body unwind and the mind let go of stress. Soft waves roll steadily onto the shore, creating a comforting coastal rhythm, while 6 Hz theta waves guide the brain into a deeply relaxed, meditative state, ideal for visualization, emotional release, and peaceful sleep. -- ✨ Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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3 Hours Black Screen | 800Hz | Brown Noise

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Play Episode Listen Later Apr 24, 2026 180:00

This 3 hours brown noise at 800 Hz delivers a deep, grounding sound designed to calm the mind and support uninterrupted sleep. The black screen eliminates visual stimulation, helping you focus entirely on rest.Brown noise emphasizes lower frequencies, making it especially helpful for anxiety, overthinking, and deep relaxation.Frequency: 800 HzDuration: 3 HoursScreen: BlackNo visuals.No talking.Just deep sound that stays.Brown Noise Sleep SoundsSound that stays.

God Doesn't Roll Dice: Jay Finds the Right Side | NeuroNoodle Neurofeedback Therapy Podcast

Play Episode Listen Later Apr 23, 2026 55:22

Jay Gunkelman goes in BLIND — no diagnosis, no report, no hints. Just the EEG that Joshua Moore reviewed live with the panel on The Brain Bar. The next day on Thursday Carnac, Jay cold-reads the same 58-year-old female and finds a 45-degree diagonal line running from her left frontal cortex to her right posterior — the classic geometric signature of a coup-contra-coup injury. Plus a right temporal spike, left frontal alpha hyper-coherence, and Davidson's depressed mood signature. After half a million EEGs, the patterns reach out and grab you. The reveal? Depressed female with a history of a right-side head knock. Jay called it from the waveform alone.

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Play Episode Listen Later Apr 23, 2026 537:22

Enter a state of deep stillness and vivid dreaming with this immersive soundscape blending deep sleep ambient music, rich green noise, and powerful 1 Hz delta wave binaural beats. The slow, evolving ambient tones create a dreamlike atmosphere that helps the mind detach from waking thoughts, while the smooth, natural texture of deep green noise provides a stable, grounding layer that masks distractions. Beneath it all, 1 Hz delta waves guide the brain into the deepest stages of sleep, supporting lucid dreaming, subconscious exploration, and full-body restoration. -- ✨ Support the show with ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium (Ad-Free)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Ep 608: The 10 Hz Edge: Performance Neurohacks with Dr. Izzy Justice

The Health Fix

Play Episode Listen Later Apr 22, 2026 58:37

In this episode, Dr. Jannine Krause sits down with Dr. Izzy Justice, Chief Neuroscience Officer at Neuro580, to explore how neuroscience is being used to achieve peak mental performance. Dr. Justice breaks down the science behind focus, flow state, and brain optimization as well as the powerful role of 10 Hertz brain waves. You'll discover practical "neuro hacks" to instantly shift your mental state, improve performance under pressure, and enhance overall well-being. Dr. Justice also shares a powerful perspective on how trauma can be reframed as a catalyst for growth, resilience, and greatness. Whether you're an athlete, entrepreneur, or someone looking to improve focus and mental clarity, this episode delivers actionable tools grounded in neuroscience that take less than a minute to deploy. What You'll Learn In This Episode: How Dr. Izzy is using neuroscience to enhance human performance The significance of 10 Hertz brainwave states Neuro hacks for rapid mental state shifts Why trauma can be a catalyst for growth and greatness How functional EEGs are being used to show the benefits of Dr. Izzy's neuro hacks About Dr. Izzy Justice Dr. Izzy Justice is the Chief Neuroscience Officer at Neuro580, a leader in human performance, sports psychology, and mental training. A pioneering sports neuroscientist, he has certified over 300 coaches worldwide and worked with elite athletes, many of whom have gone on to win major championships and Olympic medals. He is the creator of Neurohacks: rapid, science-backed techniques designed to eliminate mental distractions, sharpen focus under pressure, and help individuals access flow state in real time. With more than 18,000 EEG-based functional brain scans conducted during live performance, Dr. Justice brings unmatched expertise in brainwave optimization and mental toughness. In addition to working with athletes, he has coached over 30 CEOs and numerous executives to enhance leadership, performance, and resilience through applied neuroscience. Originally from Zambia and based in the U.S. for over 40 years, Dr. Justice is a best-selling author of 10 books, including Your Brain Swings Every Club, which connects neuroscience, emotional control, and personal mastery. Resources From The Show: Dr. Izzy Justice's Website Dr. Izzy's Book - Life Explained: Chasing 10 Hz

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3 Hours Black Screen | 800Hz | Pink Noise

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Play Episode Listen Later Apr 22, 2026 180:00

This 3 hours pink noise at 800 Hz provides a soft, balanced sound environment for deep relaxation and sleep. The black screen reduces visual distractions, allowing your mind to slow down and rest.Pink noise is known for its warmer, smoother sound profile, making it ideal for stress relief, anxiety reduction, and calm focus.Frequency: 800 HzDuration: 3 HoursScreen: BlackNo visuals.No talking.Just soft sound that stays.Brown Noise Sleep SoundsSound that stays.

How Frequency Can Shift Your Life w/ Heather Askinosie

Slightly Spiritual Pod

Play Episode Listen Later Apr 21, 2026 42:04

Heather Askinosie is the co-founder of Energy Muse, a best-selling author, frequency expert, and crystal manifestation coach helping people create transformation through energy work. With more than 35 years of study under renowned healers, she has become a leading voice in crystals, Feng Shui, and energetic technology. If you've been wanting to learn how to use frequency to enhance your life, this episode is for you. sIn this episode, Heather explains the benefits of frequency tools for stress relief, focus, emotional clarity, grounding, and manifestation. We also discuss frequency and how you can use copper to ground and amplify. We also explore specific frequencies and what they do like 528 Hz, 417 Hz (dubbed "digital sage") and 783 Hz and how they improve OUR frequency, how frequency can shift the energy of a space, and simple ways beginners can start using them to improve desired parts of their lives. Heather also shares her personal love formula and why transformation begins within! Connect with Heather: https://energymuse.com Frequency generators: https://energymuse.com/pages/frequency-generators Heather has generously gifted our community 15% off with code SPIRITUAL Instagram: https://www.instagram.com/energymuse/ Send this episode to a friend who needs frequency in their life! And leave us a review: podcasts.apple.com/us/podcast/slig…od/id1542525641 Follow us on Instagram: www.instagram.com/slightlyspiritualpod/ Follow Cindy on Instagram: www.instagram.com/revealingsoul/ Follow Ali on Instagram: www.instagram.com/alitmoresco/

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3 Hours Black Screen | 800Hz | White Noise