Question about Power Spectral Analysis about yasa HOT 3 CLOSED

Hi @PhD-GOAT,

I would try the following (not tested):

data = raw.get_data(picks="C4-M1", units="uV")  # Pick a single channel, here C4-M1
data = np.squeeze(data) 
sf = raw.info["sfreq"]
times, epochs = yasa.sliding_window(data, sf, window=30)
bp = yasa.bandpower(epochs, sf, win_sec=5)

Alternatively you can use the yasa.SleepStaging.get_features() method:

Thanks
Raphael

from yasa.

aha, yasa.SleepStaging.get_features() Does this function output the data you have applied to machine learning as a result value?

from yasa.

Correct @PhD-GOAT , this function outputs the features (30-sec resolution) that are then sent to the machine-learning model for sleep stage classification.

from yasa.