yasa.bandpower_from_psd_ndarray¶
- yasa.bandpower_from_psd_ndarray(psd, freqs, bands=[(0.5, 4, 'Delta'), (4, 8, 'Theta'), (8, 12, 'Alpha'), (12, 16, 'Sigma'), (16, 30, 'Beta'), (30, 40, 'Gamma')], relative=True)[source]¶
Compute bandpowers in N-dimensional PSD.
This is a NumPy-only implementation of the
yasa.bandpower_from_psd()function, which supports 1-D arrays of shape (n_freqs), or N-dimensional arays (e.g. 2-D (n_chan, n_freqs) or 3-D (n_chan, n_epochs, n_freqs))New in version 0.2.0.
- Parameters
- psd
numpy.ndarray Power spectral density of data, in uV^2/Hz. Must be a N-D array of shape (…, n_freqs). See
scipy.signal.welch()for more details.- freqs
numpy.ndarray Array of frequencies. Must be a 1-D array of shape (n_freqs,)
- bandslist of tuples
List of frequency bands of interests. Each tuple must contain the lower and upper frequencies, as well as the band name (e.g. (0.5, 4, ‘Delta’)).
- relativeboolean
If True, bandpower is divided by the total power between the min and max frequencies defined in
band(default 0.5 to 40 Hz).
- psd
- Returns
- bandpowers
numpy.ndarray Bandpower array of shape (n_bands, …).
- bandpowers