Table 2.

CWR features’ description.

Type of Signal	Feature	Feature Number
Original signal	Maximum amplitude	1
	Root Mean Square (RMS)	2
	Peak-to-peak amplitude	3
	Crest factor	4
	Arithmetic mean	5
	Variance	6
	Skewness	7
	Kurtosis	8
	Centered moments ($k$= 5 − 11)	9–15
	Arithmetic mean of the Fourier amplitude, divided in 25 frequency bands	16–40
	RMS of the first five IMFs * (empirical mode decomposition)	41–45
	Percent energy of the first five IMFs (empirical mode decomposition)	46–50
	Shannon entropy of the first 5 IMFs (empirical mode decomposition)	51–55
	RMS of the first 5 PFs ** (Local Mean Decomposition)	56–60
	Percent energy of the first 5 PFs (Local Mean Decomposition)	61–65
	Shannon entropy of the first 5 PFs (Local Mean Decomposition)	66–70
Derivative of the original signal	Maximum amplitude	71
	Root Mean Square (RMS)	72
	Peak-to-peak amplitude	73
	Crest factor	74
	Arithmetic mean	75
	Variance	76
	Skewness	77
	Kurtosis	78
	Centered moments ($k$= 5 − 11)	79–85
Integral of the original signal	Maximum amplitude	86
	Root Mean Square (RMS)	87
	Peak-to-peak amplitude	88
	Crest factor	89
	Arithmetic mean	90
	Variance	91
	Skewness	92
	Kurtosis	93
	Centered moments ($k$= 5 − 11)	94–100

* IMF: intrinsic mode functions; ** PF: product functions.