* Software: I use the OpenBCI GUI with the spectrogram widget

Additionnally, I have considered that human differ widely in terms of alpha waves generation but I have no problem seeing alpha waves when I use every channel from 2 to 8, the only one who causes trou

- with the gain at 6*, the white noise in the spectrogram seems to be about 1 μV; but the 25Hz peaks at over 200 μV, which is where I would expect my EEG signal to be in terms of rough amplitude. Is

https://sites.google.com/site/biofeedbackpages/brainbay-openbci/spectrogram

is also a hard limitation. I recommend using the Spectrogram widget to view FFT data over time. You are free to make CSV or BDF recordings with the GUI and view the recordings in another app. Also, I

per channel. I used this to help develop the Spectrogram widget and test the FFT widget.

Sixian, be sure when you monitor via time series, FFT, or spectrogram -- that your EEG is clean. And free from externally created EMF pollution, which can distort the EEG.

I don't think you tried the actual spectrogram widget,

The graph produced by the OpenBCI_GUI Spectrogram widget shows that there is also high energy in the low frequency region. But there is no particularly obvious spectral energy distribution around 2 Hz

Try comparing your own graphs with those produced by the OpenBCI_GUI Spectrogram widget.

I have just added the Documentation for the Spectrogram Widget. This can be a very helpful widget when testing a variety of setups:

William is correct. To be more specific about the Spectrogram widget, you will notice a "Channels" button in the top left of the widget. Clicking this will hide/show the Channel Select bar f

I would be more patient and look at Fp1 and Fp2. Spectrogram will clearly show this change over time when electrodes are connected and there are no additional artefacts. Key word here is patience, in

Here is the screen of the BrainBay design I'm using, you can see the three graphs mentioned on the previous comment: raw, filtered / spindles, alpha envelope. Last two graphs show long term trend of a

Here is the screen of the BrainBay design I'm using, you can see the three graphs mentioned on the previous comment: raw, filtered / spindles, alpha envelope. Last two graphs show long term trend of a

Here is the screen of the BrainBay design I'm using, you can see the three graphs mentioned on the previous comment: raw, filtered / spindles, alpha envelope. Last two graphs show long term trend of a

I just tried the alpha inhibit protocol myself for the first time last night. I was also monitoring (gently, not too focused), the spectrogram activity during the session. With eyes opened, one normal

2. Solution: To view insights into what's happening minute-by-minute, try using the Spectrogram Widget! This widget shows FFT over time.

hole of curiosity when just taking a look at the spectrogram of the raw signal and was surprised to see it completely washed out by these large bands, so I was also hoping to show my thought process

I have some strange spectrogram outputs from a Cyton recording that I've had trouble wrapping my head around. I would expect a spectrogram of the raw data to show activity fairly cleanly. However, pre