TABLE 1.

Feature set of the machine learning algorithm

Time domain	(1) Zero crossings
	(2) Cross‐correlation between two consecutive windows
	(3) Root mean square error amplitude
Frequency domain	(4) Power of the signal in frequency band 1–30 Hz
	(5) Relative power of the signal between bands 3–12 Hz and 1–30 Hz
	Log‐sum of wavelet transform after resampling at 128 Hz: (6) 32–64 Hz, (7) 16–32 Hz, (8) 8–16 Hz, (9) 2–4 Hz
	(10) Cross‐correlation of same window in two different bands, 3–12 Hz and 1–30 Hz
	(11) Dominant phase
	(12) Mean phase variance
	(13) Mahalanobis variance between each point of the 3–12‐Hz band and 1–30 Hz