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	Detection of ECG characteristic points using biorthogonal spline wavelet
	Tao Pan; Lei Zhang; Shumin Zhou
	2010
会议名称	3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
英文摘要	An algorithm based on Biorthogonal Spline Wavelet is developed for detecting ECG characters points. In the algorithm, the Biorthogonal Spline Wavelet Transform of the ECG signal is first calculated using Mallat Algorithm. And then the R-peak is located by finding the best modulus maximum pair of the wavelet transform in the e scale of 23. A more robust method to find the modulus maximum pair is put forward in this paper. The methods finding the onsets and offsets of QRS complexes, P and T waves are also provided. The detection rate of QRS complexes for the algorithm is above 99.7% for MIT/BIH database and the processing time is considerably little.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3156]
专题	深圳先进技术研究院_其他
作者单位	2010
推荐引用方式 GB/T 7714	Tao Pan,Lei Zhang,Shumin Zhou. Detection of ECG characteristic points using biorthogonal spline wavelet[C]. 见:3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010.

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