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http://dx.doi.org/10.9708/jksci.2013.18.8.131

Arrhythmia Detection Using Rhythm Features of ECG Signal  

Kim, Sung-Oan (Dept. of Computer Information, Suwon Science College)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.8, 2013 , pp. 131-139 More about this Journal
Abstract
In this paper, we look into previous research in relation to each processing step for ECG diagnosis and propose detection and classification method of arrhythmia using rhythm features of ECG signal. Rhythm features for distribution of rhythm and heartbeat such as identity, regularity, etc. are extracted in feature extraction, and rhythm type is classified using rule-base constructed in advance for features of rhythm section in rhythm classification. Experimental results for all of rhythm types in the MIT-BIH arrhythmia database show detection performance of 100% for arrhythmia with only normal rhythm rule and applicability of classification for rhythm types with arrhythmia rhythm rules.
Keywords
ECG Prediagnosis; RhythmFeatures; Arrhythmia Detection; Type Classification;
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Times Cited By KSCI : 4  (Citation Analysis)
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