Browse > Article

Detection Algorithm of Cardiac Arrhythmia in ECG Signal using R-R Interval  

Kim, Kyung Ho (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Lee, Sang Woon (남서울대학교 멀티미디어학과)
Kim, Jin Young (광운대학교 전자융합공학과 유비쿼터스 통신 연구실)
Publication Information
Journal of Satellite, Information and Communications / v.9, no.1, 2014 , pp. 85-89 More about this Journal
Abstract
Electrocardiogram (ECG) is a diagnostic test which records the electrical activity of the heart, shows abnormal rhythms and detects heart muscle damages. With this ECG signal, medical centers diagnose patients' heart disease symptoms. A normal resting heart rate for adults rages from 60 to 100 beats a minute. An irregular heartbeat is called "arrhythmia", and arrhythmia is also called "cardiac dysrhythmia". In an arrhythmia, the heartbeat maybe too slow(slower than 60beats), too rapid(faster than 100beats), too irregular, etc. Among these symptoms of arrhythmia, if the heart beat is slower than the normal range, the symptom is called "bradycardia", and if it is faster than the range, it is called "tachycardia" In this letters, we proposed the detection algorithm of cardiac arrhythmia in ECG signal using R-R interval through the detection of R-peak.
Keywords
electrocardiography(ECG); cardiac arrhythmia; R-R interval; bradycardia; tachycardia;
Citations & Related Records
연도 인용수 순위
  • Reference
1 2012년 사망원인통계, 통계청, pp.6-9, Sep. 2013.
2 J. Behar, J. Oster, Q. Li, and G. D. Clifford, "ECG signal quality during arrhythmia and its application to false alarm reduction,"IEEE Transaction on Biomedical Engineering, vol. 60, no. 6, pp. 1660-1666, June 2013.   DOI
3 S. M. S. Jalaleddine, C. G. Hutchens, R. D. Strattan, and W. A. Coberly, "ECG data compression techniques - a unified approach," IEEE Transaction on Biomedical Engineering, vol. 37, no. 4, pp. 329-343, Apr. 1990.   DOI   ScienceOn
4 C. Ye, B. V. K. V. Kumar, and M. T. Coimbra, "Heartbeat classification using morphological and dynamic features of ECG signals,"IEEE Transaction on Biomedical Engineering, vol. 59, no. 10, pp. 2930-2941, Oct. 2012.   DOI
5 J. Pan and W. J. Tompkins, "A real-time QRS detection algorithm,"IEEE Transaction on Biomedical Engineering, vol. BME-32, no. 3, pp. 230-236, Mar. 1985.   DOI   ScienceOn
6 P. S. Hamilton and W. J. Tompkins, "Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database,"IEEE Transaction on Biomedical Engineering, vol. BME-33, no. 12, pp. 1157-1165, Dec. 1986.   DOI   ScienceOn
7 The MIT-BIH Arrhythmia Database May 1997 [Online]. Available: http://physionet.ph.biu.ac.il /physiobank/database/mitdb/