Research Article

PCG Classification Using Multidomain Features and SVM Classifier

Table 8

Summary of the proposed features.

Index DomainNum. of featuresMotivation

1Time interval20The time interval of each state has physiological meaning based on heart physiology.
2Frequency spectrum of state308To reflect the frequency spectrum within state.
3State amplitude12The amplitude is related to the heart hemodynamics.
4Energy47To reflect energy distribution with respect to frequency band
5Frequency spectrum of records27To reflect frequency spectrum within records
6Cepstrum65To reflect the acoustic properties.
7Cyclostationary4To reflect the degree of signal repetition.
8High-order statistics16To reflect the skewness and kurtosis of each signal state.
9Entropy16To reflect the PCG signal inherent complexity.
Total-ā€Š-515-ā€Š-