Table 2.

We selected twenty-five features with which a feature-matrix was computed as input for the four methods

Number	Feature	Description	Domain
1	Curve Length	Length of an irregular curve (i.e., similar to arc length)	Time
2	Energy	Average instantaneous energy	Time
3	Nonlinear Energy	Average change in amplitude and frequency	Time
4	Root Mean Square Time	Amplitude of time-varying wave (usually sinusoidal), quadratic mean
5	Mean Rectified Value	Mean magnitude (i.e., average of an absolute value)	Time
6	Sinusoidal Frequency	Estimate of frequency for sinusoidal (or periodic) signal	Time
7	Sinusoidal Phase	Estimate of phase for sinusoidal (or periodic) signal	Time
8	Periodicity	Estimate of regularity for sinusoidal (or periodic) signal	Time
9	Crossings	Mean number of intersections across an amplitude reference	Time
10	Peak PSD	Maximum value of power spectral density (PSD)	Frequency
11	Mean PSD Frequency	Mean value of power spectral density (PSD)
12	Peak Sign-PSD Frequency	Maximum value of power spectral density (PSD) for signed signal
13	Mean Statistics	Measure of central tendency, arithmetic mean (or average)
14	Median	Measure of central tendency, middle value	Statistics
15	Interquartile Range Statistics	Difference between the third and first quartiles, mid-spread
16	Mad Statistics	Mean (or median) absolute deviation from mean (or median) value
17	Range	Difference between the maximum and the minimum values	Statistics
18	Standard Deviation Statistics	Measure of the variability relative to a mean value
19	Variance Statistics	Mean square deviation from a mean value
20	Skewness	Asymmetry about a mean value	Statistics
21	Kurtosis	Affinity to statistical outliers	Statistics
22	Spectral Entropy Information	Measure of predictability (or regularity) in a sequence
23	Shannon Entropy Information	Average missing information when values are unknown
24	Renyi Entropy Information	Measure of the diversity (or randomness) in a sequence
25	Complexity	Level of intricacy in a sequence	Information