About the average power in your file "FeatureMat_time"

[haojiubujian91]

Dear professor: In your file "FeatureMat_time", The maximum value of the feature is 51.65, the minimum is -1.05, and the mean value is 0.0017. But after the FFT using np.fft.fft, the power value is generally between 0 and 100. Therefore, for these features, did you normalize them or log them? I don’t know your specific operation, I hope you can give some specific code about this part.

In addition, about the frequency band, I set the theta (4-7 Hz), alpha (7-13 Hz) and beta (13-30 Hz). But in your experiment, you did not specify the range of these bands. Did you choose the same as mine?

Looking forward to your reply, thank you very much

[haojiubujian91]

The window size I use is 15s. Therefore, after the FFT using the np.fft.fft, the power values is between 0-50445, this number is a bit too large, so I want to ask how you deal with these power values, normalization or log?

[fangtao365]

@haojiubujian91 hello，i have same problem,could share your wechat for further communication，my wechat：19821234051

[pbashivan]

features are all normalized within frequency bands. It usually helps with the training of neural networks if your features are normalized.

[LscGo]

@pbashivan Dear Professor: I want to know how to convert from EEG signals to images, can I understand the specific operation? Looking forward to your reply, thank you very much.

[LscGo]

@haojiubujian91 I also have the same problem, can I get your wechat for some communication，my wechat 18749845267