Dear MNE experts,
I’m trying analyze a clinical EEG data. The goal is to indicate reduction of the 8-15 Hz activity (maybe delta waves as well).
First, the bandpass filter is set at 0.1-70 Hz. Then, 2 seconds EEG data from each channels are detrended as one series by using mne.Evoked.detrend function.
Here, I have two questions.
How can I apply a Hanning window to reduce the effect of spectral leakage and then transform each series into a frequency domain by FFT, from which the power spectrum at 8–15 Hz bandwidth can obtain?
How can I smooth the 2 seconds power spectra with Welch’s method through averaging 10 series?
I would be grateful if anyone can help me how properly perform this analysis with MNE.