Multi-lead electrocardiogram (ECG) signal composite feature extraction method and corresponding monitoring system

The invention discloses a multi-lead electrocardiogram (ECG) signal composite feature extraction method and a corresponding monitoring system, and relates to the field of ECG signal analysis and detection. The method comprises the following steps: 1, extracting statistical features or morphological statistical features and wavelet energy entropy features of the morphology of single-lead ECG signals; 2, repeating the step 1 to acquire and fuse statistical features or the morphological statistical features and the wavelet energy entropy features of the lead morphology; the system comprises a feature extraction module; the feature extraction module comprises a dynamic link library, a feature extraction unit and a feature fusion unit, and is used for extracting the statistical features or themorphological statistical features and the wavelet energy entropy features of the morphology. The method is used for extracting the statistical features or the morphological statistical features and the wavelet energy entropy