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|Title:||Recognition Algorithm of R Wave in ECG Based on EWT and Structure Feature Extraction|
|Keywords:||electrocardiogram (ECG);R-wave recognition;empirical wavelet transform (EWT);structural feature extraction|
|Publisher:||Beijing Magtech Co., Ltd.|
|Citation:||Lin , J.Z., Li, B.L., Li, G.Q., Huang, Z.W. and Pang, Y. (2021) 'Recognition Algorithm of R Wave in ECG Based on EWT and Structure Feature Extraction', Tien Tzu Hsueh Pao/Acta Electronica Sinica, 49 (6), pp. 1217 - 1223. doi: 10.12263/DZXB.20200907.|
|Abstract:||Copyright © 2021 The Author(s). As the most obvious feature of electrocardiogram(ECG), R wave is often used as an important basis to determine other bands of ECG.Aiming at the low recognition rate of existing algorithms, an R-wave recognition algorithm based on empirical wavelet transform and signal structure characteristics is proposed.Firstly, the empirical wavelet transform is used to adaptively segment the spectrum of ECG signal, and the appropriate wavelet filter banks are constructed in the segmentation interval to extract the tightly supported modal components.Then, the spectrum of each extracted modal component is analyzed to find out the corresponding high frequency component of R wave and analyze its structure, so as to realize the accurate positioning of R wave.The simulation results show that the sensitivity, accuracy and positive rate of the proposed algorithm for R-wave recognition of ECG signal are 99.93%, 99.92% and 99.99% respectively, and the algorithm takes only 0.68s with a good recognition effect for R-wave.|
|Appears in Collections:||Dept of Electronic and Electrical Engineering Research Papers|
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