The actual names for these graphs are Spectrograms,

Sleep and the Multitaper Spectrogram

re: BrainBay tutorial. The text in the tutorial explains how the signal processing blocks are connected together. In your case you could sum a range of channels, show a spectrogram, etc.

re: "average brain frequency".  When you asked about this before, I did not know the context. So I suggested spectrogram and spectral centroid. Using those alone on channels connected to var

I did look at Google/image/eeg-spectrogram.  That was not what I had in mind.

re: graph. Did you look at the EEG spectrogram examples on image portion of the Google search results? Spectrogram gives MANY times the information of a single value over time. Many of the examples sh

Rather than reducing all the brain activity down to a single number, that changes over time -- instead the spectrogram is used. Which plots time on the horizontal axis and frequency on the vertical ax

The other search link I gave, shows there are previous versions of the GUI that had prototype support for spectrogram.

Can someone add live spectrogram in new v2.2.1 GUI?

https://www.google.com/search?as_q=spectrogram&as_sitesearch=openbci.com

Cant find spectrogram in V2 GUI?

The "waterfall" you refer to is typically called a spectrogram graph. Some versions of the OpenBCI_GUI support this. I think the V2 GUI may have this built in.

Then when I turn that off and launch Neuromore, my spectrogram view and all of the uV values in all channels go flat no matter what I do:

1)  After the spectrogram, he does the "mean" of the PSD per bin, and then the square root.

As for the spectrograms, when the artifacts on the EEG are small in amplitude then they don't make much difference on the spectrogram but when they are large in amplitude like in the image 2 in my pre

time and used EEGrunt and python to plot the spectrogram and power spectrum of the signal the different electrodes. My best results are at the electrode O2. So the following images show the spectrogr

I use spectrogram to calculate the power spectrum of electrode readings.You have to give spectrogram meaningful parameters (window, overlap, NFFT), otherwise spectrogram will be BS.

Custom Matlab code for post-processing (spectrograms, etc).

I have written code to transform raw OpenBCI data and visualize it as a spectrogram.  However, I'm not sure about how well my electrode setup is working - the data isn't looking like I expect it to.

Hi,I see in the GUI source code some remnants of spectrogram code.