Detection of QRS Complexes Using Wavelet Transforms and Golden Section Search
The extraction and identification of ECG (electrocardiogram) signal characteristic parameters are the basis of ECG analysis and diagnosis. The fast and precise detection of QRS complexes is very important in ECG signal analysis, for it is the precondition of the correlative parameters calculation and diagnosis. In this paper, the modulus maxima of wavelet transform was applied to the QRS complexes detection of ECG signal firstly. Once misdetections or fail-detections happen, we used the Golden Section Search to adjust the thresholds of maxima determination. The correct detection rate of the QRS complexes is up to 99.6% based on MIT-BIH ECG data.
ECG Signal QRS Complexes Wavelet Transformation Golden Section Search
Wenli Chen Zhiwen Mo Wen Guo
College of Mathematic and Software Science, Sichuan Normal University, Chengdu 610068, China
国际会议
The 2007 International Conference on Intelligent Systems and Knowledge Engineering(第二届智能系统与知识工程国际会议)
成都
英文
14-18
2007-10-15（万方平台首次上网日期，不代表论文的发表时间）