Comments (2)
Hi @matiasandina,
Your method should work well. Perhaps a more optimized method (though less intuitive) is to use:
- yasa.sliding_window to convert your data into a 2D (or 3D) array of epochs (e.g. 4-sec epochs of data).
- Then manually calculate the power spectrum on all epochs at once using scipy.signal.welch.
- Finally, use yasa.bandpower_from_psd_ndarray to calculate the bandpower on all epochs at once. Note that the output will be a numpy array and not a pandas dataframe.
Alternatively, you could create a vector mask
of the same length of the data where [ 1 1 1 1 ... 2 2 2 2 .... 3 3 3 3 ... ] 1 = first epoch, 2 = second epoch, etc. Then you can do: yasa.bandpower(data, sf, hypno=mask, include=(1, 2, 3))
which should calculate the bandpower for each value in mask
separately.
Hope this helps,
Raphael
from yasa.
Perfect!
from yasa.
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from yasa.