Earticle

초록

영어

There are still problems such as low detection accuracy and poor noise immunity in the application of the standard threshold difference algorithm in the signal detection of electrocardiosignal (ECG), in this paper, a medical monitoring model based on the adaptive threshold difference is proposed. First we use a nonlinear filter to filter the P wave and T wave which are low frequency in ECG signal. Then complex wave QRS will be tested. Then the algorithm will be more accuracy through the detection of the R-R interval length and the adjustment of threshold. Finally, the ECG signal will be test with quadratic spline wavelet twice, and the error judgment will be known through adaptive threshold difference. In the simulation experiments, after judging error by wavelet transformation and making the standard threshold difference algorithm optimize adaptively, algorithm showed excellent detection accuracy with and without noise.

목차

Abstract
 1. Introduction
 2. ECG Signal Detection Model Based on Threshold Difference
 3. Medical Monitoring Model Based on Adaptive Threshold Difference
  3.1. Detection of QRS Complex Wave Based on Adaptive Threshold Difference
  3.2. Error Determination Based on Wavelet Transformation
 4. Algorithm Performance Simulation
 5. Summary
 References

키워드

저자

• Beibei Dong [ The College of Information Science and Engineering, Hebei North University, Zhangjiakou Hebei, 075000, China ]
• Jingjing Yang [ The College of Information Science and Engineering, Hebei North University, Zhangjiakou Hebei, 075000, China ]
• Yanli Ma [ The College of Information Science and Engineering, Hebei North University, Zhangjiakou Hebei, 075000, China ]
• Xiao Zhang [ The College of Information Science and Engineering, Hebei North University, Zhangjiakou Hebei, 075000, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605