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Journal of Signal Processing Systems

, Volume 90, Issue 1, pp 145–156 | Cite as

Design of a Low-Complexity Real-Time Arrhythmia Detection System

  • Robert Chen-Hao Chang
  • Hung-Lieh Chen
  • Chih-Hung Lin
  • Kuang-Hao Lin
Article

Abstract

This paper presents a low-complexity real-time arrhythmia detection system that includes the QRS complex and arrhythmia detection. The ECG data in the MIT-BIH arrhythmia database were used for simulations and verification. For QRS complex detection, this paper proposes the advanced So and Chan for detecting the R-peak and baseline of the QRS complex. Compared with the accuracy obtained using the original So and Chan method (94.61%), an accuracy of 99.29% was obtained using the advanced So and Chan method. For arrhythmia detection, the proposed system is implemented with an advanced sum of trough and various features of disease symptoms. It can identify tachycardia, bradycardia, premature contraction, and two types of cardiovascular diseases; its detection accuracy can reach 98.05%. If a morbid state occurs, a warning message will be sent to a user. Because of its low complexity, the proposed detection system can be integrated with wearable electronic devices for detecting an arrhythmia immediately.

Keywords

ECG QRS complex CVD So and Chan 

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Robert Chen-Hao Chang
    • 1
    • 2
  • Hung-Lieh Chen
    • 1
  • Chih-Hung Lin
    • 1
  • Kuang-Hao Lin
    • 3
  1. 1.Department of Electrical EngineeringNational Chung Hsing UniversityTaichung CityRepublic of China
  2. 2.Department of Electrical EngineeringNational Chi Nan UniversityNantouRepublic of China
  3. 3.Department of Electrical EngineeringNational Formosa UniversityYunlin CountyRepublic of China

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