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http://dx.doi.org/10.5369/JSST.2012.21.1.39

Implementation and Evaluation of Abnormal ECG Detection Algorithm Using DTW Minimum Accumulation Distance  

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)
Publication Information
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 %.
Keywords
ECG(electrocardiogram); Arrhythmia; DTW(dynamic time warping); Template Matching;
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Times Cited By KSCI : 3  (Citation Analysis)
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