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Author:

Li, Xu Wen (Li, Xu Wen.) | Zhang, Bi Wei (Zhang, Bi Wei.) | Wu, Qiang (Wu, Qiang.)

Indexed by:

EI Scopus

Abstract:

In ECG signals accurate detection to the position of QRS complex is a key to automatic analysis and diagnosis system. And its premise is that effectively remove all kinds of noise interference in ECG signal. Here, a method of detecting QRS based on EMD and wavelet transform was presented which is aim to improve the anti-noise performance of the detection algorithm. It is combined EMD with the theory of singularity detecting based on wavelet transform modulus maxima method. It has the high detection accuracy and good precision that can give an effective way to the automatic analysis for ECG signal. © (2013) Trans Tech Publications, Switzerland.

Keyword:

Signal detection Electrocardiography Wavelet transforms

Author Community:

  • [ 1 ] [Li, Xu Wen]College of Life Science and Bio-engineering, Beijing University of Technology, China
  • [ 2 ] [Zhang, Bi Wei]College of Electronic Information and Control Engineering, Beijing University of Technology, China
  • [ 3 ] [Wu, Qiang]College of Electronic Information and Control Engineering, Beijing University of Technology, China

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Source :

ISSN: 1022-6680

Year: 2013

Volume: 765-767

Page: 2105-2108

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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