A new approach to wavelet-based P-wave detection
Wan, X.; Qin, S.; Liang, X.; Ding, J.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 23(4): 722-725
2006
ISSN/ISBN: 1001-5515 PMID: 17002093 Document Number: 604720
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.