吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 177-182.

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ECG P,T wave complex detection algorithm based on lifting wavelet

YAO Cheng1,2, SI Yu-juan1,3, LANG Liu-qi1,3, CHENG Yan-wei2, LI He-jia2, ZANG Guo-hua2   

  1. 1. College of Communication Engineerings, Jilin University, Changchun 130022, China;
    2. The Institute of Changchun Engineering Technology, Changchun 130117, China;
    3. Department of Electronic Information Zhuhai College of Jilin University, Zhuhai 519041, China;
  • Received:2012-06-05 Published:2013-06-01

Abstract:

In order to solve the problem that the ECG P,T-wave signal is complex,weak,difficult to identify as well as the problem of low efficiency and invalidity of the implementation of the identification algorithm,a combined algorithm was proposed using the fast speed characteristic of lifting wavelet analysis signal in time-domain and frequency domain based on the analysis to the principle of lifting wavelet algorithm.It combined the lifting wavelet transform with different OP,utilized the lifting wavelet to denoise,and indentified the P,T wave using composite algorithm in the reconstructed corresponding level low-frequency signal.A follower threshold function adapting to individual differences and abnormal ECG changes was proposed.Finally,the results of MIT-BIH ECG database experiments show that the proposed algorithm has high accuracy than traditional wavelet recognition method,at least doubling algorithm execution speed,and easier for hardware implementation.

Key words: lifting wavelets, electrocardiograph(ECG), P,T wave detection, following the threshold

CLC Number: 

  • TN911.72

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