A new approach to wavelet-based P-wave detection.
- Author:
Xiangkui WAN
1
;
Shuren QIN
;
Xiaorong LIANG
;
Jianping DING
Author Information
1. Test Center of Mechanical Engineering College, Chongqing University, Chongqing 400030, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Electrocardiography;
Humans;
Sensitivity and Specificity;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2006;23(4):722-725
- CountryChina
- Language:Chinese
-
Abstract:
According to the characteristics of four basic P morphologies, combining the wavelet transform and the amplitude and slope of transformed P wave, a new P-wave detecting method based on "wavelet-amplitude-slope" algorithm is presented: First search out all modulus maximum pairs to satisfy the threshold after wavelet transform, and then applying the amplitude and slope criterion exclude the interferes and detect the P peak and its shape, last determine the onset and end of P wave respectively which should be separately calculated for single-peak and double-peak P wave (or biphasic P wave). The approach is applied in experiments of data from MIT/BIH database and randomly collected data of clinical ECG. The experimental statistical results shows that the correct detecting rate is as high as 96% compared to manual annotation.
