Research Article
PCG Classification Using Multidomain Features and SVM Classifier
Table 6
Summary of high-order statistics features.
| Feature index | Feature name | Physical Meaning |
| 1 | m_S1_skewness | mean value of the skewness of S1 | 2 | sd_S1_skewness | SD of the skewness of S1 | 3 | m_S1_kurtosis | mean value of the kurtosis of S1 | 4 | sd_S1_kurtosis | SD of the kurtosis of S1 | 5 | m_S2_skewness | mean value of the skewness of S2 | 6 | sd_S2_skewness | SD of the skewness of S2 | 7 | m_S2_kurtosis | mean value of the kurtosis of S2 | 8 | sd_S2_kurtosis | SD of the kurtosis of S2 | 9 | m_sys_skewness | mean value of the skewness of systole | 10 | sd_sys_skewness | SD of the skewness of systole | 11 | m_sys_kurtosis | mean value of the kurtosis of systole | 12 | sd_sys_kurtosis | SD of the kurtosis of systole | 13 | m_dia_skewness | mean value of the skewness of diastole | 14 | sd_dia_skewness | SD of the skewness of diastole | 15 | m_dia_kurtosis | mean value of the kurtosis of diastole | 16 | sd_dia_kurtosis | SD of the kurtosis of diastole |
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