Mind Monitor

For years I have been looking for a way to determine when I am producing Alpha1 brainwaves while meditating, and this app looks like it should be capable of doing so. but I am having problems interpreting the data.

Alpha1 brainwaves occur in the frequency range of 8-10Hz whereas Alpha2 brainwaves occur in the frequency range of 10-12Hz.

How do I take the Mind Monitor output (which is displayed as Db) and translate that to see when I am in the Alpha1 frequency range (8-10Hz)?

Should be easy enough to do but I can’t figure it out.

Please help.

Thanks!

Bill

You can view that in real time using the discrete frequency:

and spectrogram displays:


These graphs both show every individual frequency. The spectrogram shows the same data as the discrete frequency chart, just plotted over time.
To set the colour range, hold two fingers on the screen.

If you're looking to calcualte this from the recorded data, then this is possible, but quite complex math wise.
First you need to change the default recording interval from "1 second" to "Constant". This will record all the RAW EEG data.
Then you can take that data and do your own FFT math on it to calculate a custom band range. You'd probably want to do that in something like MAT LAB, as it's quite complex.

I have the same question. When looking at the Discrete view you posted previously, how do I look at that to determine whether my brainwaves are in alpha or theta?
I see a scale across the top which corresponds to each color/frequency for Delta, Theta, Alpha, Beta, Gamma, etc. But this appears to show all of the frequencies at the same time. If I relax into Alpha or Theta wouldn't those brainwaves be below Beta and not along side of them?
What it the scale on the left from -5 to 10?
I apologize but I'm new at looking at this and not sure what I'm looking at. I did not see an explanation in the users guide.

If you just want to compare Alpha vs Beta, then you should use the absolute graph, not the discrete frequency graph.
I was saying to use the discrete frequency graph if you want to look at components of Alpha.