Title: Modified Algorithm of QRS Wave Detection Based on Wavelet Transform
Abstract: After analyzing the theory of wavelet transforms detection of signal singularity,we have modified a QRS wave detection method based on wavelet transform,which focuses on the interval mapping of R peak through observing the coefficients of wavelet decomposition,the omission of R peak,the retraction of R peak,the judgment of the forward R peak and the reverse R peak,and put forward a new kind of follow threshold.Using this algorithm,the QRS wave detection was experimented on 14 ECG(Electrocardiogram) data in MIT-BIH database within the Matlab simulation environment.The experimental data shows that,with the use of the algorithm,the detection rate of the normal ECG and the abnormal ECG reaches 99.98%,which has high practical value.
Publication Year: 2011
Publication Date: 2011-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot