A Computer-Aided Heart Valve Disease Diagnosis System Based on Machine Learning

Table 2

List of extracted features.

No.	Features	Domain (time or frequency)
1	Root mean square (RMS)	Time domain
2	Shape factor
3	Skewness
4	Kurtosis
5	Peak value
6	Impulse factor
7	Crest factor
8	Clearance factor
9	Mean
10	Standard deviation (std)
11	Signal-to-noise ratio (SNR)	Frequency domain
12	Signal-to-noise and distortion ratio
13	Total harmonic distortion (THD)
14–26	Mel frequency cepstral coefficients (MFCC1-MFCC13)