A Switching Method Based on FD and WTMM for ECG Signal Real-time Feature Extraction

ECG (Electrocardiogram) signal real-time feature extraction meets the requirements of some smart cardiac home care systems which can automatically extract ECG feature outside the hospital. In this paper, we discuss a real-time method based on FD (first derivative-based) algorithm and WTMM (wavelet transform modulus maxima) algorithm to detect the QRS complexes. The detection is accomplished by switching the two algorithms with comparing the feature against a threshold. This switching method has advantages of FD algorithm which avoids complicated computation and can realize accurate position of QRS complexes with WTMM algorithm. We use actual ECG signal data gathered from 3-Lead ECG signal gathering system with MATLAB as simulation platform. The result shows that it causes a good effect on the real-time feature extraction.