Earticle

초록

영어

In order to solve the problems of occasional occurrence algorithm of negative R waves and misdetection and false detection of irregular R waves, compensates for the misdetection and false detection of R waves is introduced to detect QRS waves using quadratic biorthogonal B-spline wavelet transform, the correspondence relationship between signal singular points and zero-crossing points is analyzed by Mallat algorithm from the perspectives of modulus maxima of signals on different scales and Lipschitz exponent, QRS waves are obtained. Finally, this paper employed Matlab to extract the QRS characteristic waveforms of ECG signals from MIT-BIH arrhythmia database. The results show that the detection accuracy rate for QRS waves is up to 99.89% with higher robustness for several common interferences with ECG signals.

목차

Abstract
 1. Introduction
 2. The Dection Principle Of Wavelet Transform For Singular Points
 3. The Selection Of Waveletbase
 4. Mallat Algorithm
 5. The QRS Charactrtstic Waveform Extraction Based On B-Spline Wavelet
  5.1. Relationship between Lipschitz exponent and modulus maxima
  5.2. Relationship between R wave peaks and the crossing zero point of modulus maxima couple
  5.3. QRS wave detection algorithm flow
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Yu Shang [ College of Electronic Information Engineering Xi’an Technological University, Xi’an, China ]
• Shasha Lei [ Xi’an Qinming Medical Instruments Co., Ltd., Xi’an, China ]
• Bin Liu [ College of Electronic Information Engineering Xi’an Technological University, Xi’an, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605