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Add beta/theta ratio as control metric for evaluating algorithm performance #22

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jdpigeon opened this issue Dec 10, 2017 · 0 comments

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jdpigeon commented Dec 10, 2017 •

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As a sanity check, we should include a beta/theta ratio metric in our ML work. This should be relatively straightforward to do with the MNE library.

Details on the FFT and band means used in our app:

FFT input length, FFT length, and sampling rate: 256
Epoch length: 256 samples (1s)
Epoch interval: 250 ms (4times/s)
FFT buffer smoothed over last 4 epochs
Theta range: 4-8hz
Beta range: 13-30hz

jharris1679 self-assigned this

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