Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Implementation and Evaluation of Abnormal ECG Detection Algorithm Using DTW Minimum Accumulation Distance

DTW 최소누적거리를 이용한 심전도 이상 검출 알고리즘 구현 및 평가

  • Noh, Yun-Hong (Graduate School of Ubiquitous IT, Dongseo University) ;
  • Lee, Young-Dong (Division of Computer & Information Engineering, Dongseo University) ;
  • Jeong, Do-Un (Division of Computer & Information Engineering, Dongseo University)
  • 노윤홍 (동서대학교 대학원 유비쿼터스IT) ;
  • 이영동 (동서대학교 컴퓨터정보공학부) ;
  • 정도운 (동서대학교 컴퓨터정보공학부)
  • Received : 2011.08.05
  • Accepted : 2011.11.28
  • Published : 2012.01.24
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Abstract

Recently the convergence of healthcare technology is used for daily life healthcare monitoring. Cardiac arrhythmia is presented by the state of the heart irregularity. Abnormal heart's electrical signal pathway or heart's tissue disorder could be the cause of cardiac arrhythmia. Fatal arrhythmia could put patient's life at risk. Therefore arrhythmia detection is very important. Previous studies on the detection of arrhythmia in various ECG analysis and classification methods had been carried out. In this paper, an ECG signal processing techniques to detect abnormal ECG based on DTW minimum accumulation distance through the template matching for normalized data and variable threshold method for ECG R-peak detection. Signal processing techniques able to determine the occurrence of normal ECG and abnormal ECG. Abnormal ECG detection algorithm using DTW minimum accumulation distance method is performed using MITBIH database for performance evaluation. Experiment result shows the average percentage accuracy of using the propose method for Rpeak detection is 99.63 % and abnormal detection is 99.60 %.

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References

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