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http://dx.doi.org/10.5302/J.ICROS.2009.15.4.406

Development of Realtime ECG Analysis and Monitoring System  

Jeong, Gu-Young (전북대학교 항공우주공학과)
Yoon, Myoung-Jong (전북대학교 항공우주공학과)
Yu, Kee-Ho (전북대학교 항공우주공학과/공업기술연구센터)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.4, 2009 , pp. 406-412 More about this Journal
Abstract
ECG is used on purpose to keep good health or monitor cardiac function of aged person as well as on purpose to diagnose the disease of heart patients. The ambulatory ECG monitoring system under guarantee of safety and accuracy is very efficient to prevent the progress of heart disease and sudden death. These systems can detect the temporary change of ECG that is very significant to diagnose heart disease such as myocardial ischemia, arrhyamia and cardiac infarction. In this paper, we describe the ECG signal analysis algorithm and measurement device for ECG monitoring. The authors designed a small-size portable ECG device that consisted of instrumentation amplifier, micro-controller, filter and RF module. The device measures ECG with four electrodes on the body and detects QRS complex and ST level change in realtime. Also it transmits the measured signals to the personal computer. The developed software for ECG analysis in personal computer has the function to detect the feature points and ST level changes.
Keywords
ECG monitoring; QRS complex; ST level; myocardial ischemia;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 A. Bartolo, B. D. Clymer, R. C. Burgess, and J. P. Turnbull, J. A. Golish and M. C. Perry, 'An alThythmia detector and heart rate estimator for overnight polysomnography studies,' IFYE Transactions on Biomedical Engineering, vol. 48, no. 5, pp. 513-521, 2001   DOI   ScienceOn
2 T. Kao, Y. Y. Su, H. W. Tso, Y. C. Lin, S. A. Chen and C. T. Tai, 'Nonlinear analysis of human atrial flutter and fibrillation using surface electrocardiogram,' Computers in Cardiology, vol. 31, pp. 441-444, 2004   DOI
3 정구영, 유기호, '레퍼런스 ST셋과 다항식 근사를 이용한 ST형상 분류 알고리즘,' 의용생체공학회지, vol. 28, pp,665-675, 2007   과학기술학회마을
4 I. C. Ivaylo, 'Real time electrocardiogram QRS detection using combined adaptive threshold,' Biomedical Engineering Online, vol. 3, no. 8, 2004   DOI   ScienceOn
5 Y. sun, S. Suppappola and T. A. Wrublewski, 'Micro controller-based real-time QRS detection,' Biomedical Instrumentation and Technology, vol. 26, no. 6, pp. 477-484, 1992   ScienceOn
6 J. Garcia, L. Sommo, S. Olmos and P. Laguna, 'Automatic detection of ST-T complex changes on the ECG using filtered RMS difference series: application to ambulatory ischemia monitoring,' IEEE Transactions on Biomedical Engineering, vol. 47, no. 9, pp. 1195-1201, 2000   DOI   ScienceOn
7 P. Langley, E. J. Bowers, J. Wild M. J. Drinnan, J. Allen and N. Brown, 'An Algorithm to Distinguish Ischaemic and Non-ischaemic ST Changes in the Holter RCG,' Computers in Cardiology, vol. 30, pp. 239-242, 2003   DOI   ScienceOn
8 G. Y. Jeong and K. H. Yu, 'Development of Ambulatory ECG Monitoring Device with ST Shape Classification,' International Conference on Control, Automation and System, pp. 1591-1595, 2007   DOI
9 A. A. FahOLUD and A. Qasaimeh, 'ECG arrhythmia classification using simple reconstructed phase space approach,' Computers in Cardiology, vol. 33, pp. 757-760, 2006
10 D. Ge, N. Srinivasan and S. M. Krishnan, 'Cardiac arrhythmia classification using autoregressive modeling,' Biomedical Engineering Online, vol. 1, no. 5, 2002   DOI