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@article{ART001795506},
author={Sungoan Kim},
title={Arrhythmia Detection Using Rhythm Features of ECG Signal},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2013},
volume={18},
number={8},
pages={131-139}

TY - JOUR
AU - Sungoan Kim
TI - Arrhythmia Detection Using Rhythm Features of ECG Signal
JO - Journal of The Korea Society of Computer and Information
PY - 2013
VL - 18
IS - 8
PB - The Korean Society Of Computer And Information
SP - 131
EP - 139
SN - 1598-849X
AB - 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
KW - ECG Prediagnosis;RhythmFeatures;Arrhythmia Detection;Type Classification
DO -
UR -
ER -

Sungoan Kim. (2013). Arrhythmia Detection Using Rhythm Features of ECG Signal. Journal of The Korea Society of Computer and Information, 18(8), 131-139.

Sungoan Kim. 2013, "Arrhythmia Detection Using Rhythm Features of ECG Signal", Journal of The Korea Society of Computer and Information, vol.18, no.8 pp.131-139.

Sungoan Kim "Arrhythmia Detection Using Rhythm Features of ECG Signal" Journal of The Korea Society of Computer and Information 18.8 pp.131-139 (2013) : 131.

Sungoan Kim. Arrhythmia Detection Using Rhythm Features of ECG Signal. 2013; 18(8), 131-139.

Sungoan Kim. "Arrhythmia Detection Using Rhythm Features of ECG Signal" Journal of The Korea Society of Computer and Information 18, no.8 (2013) : 131-139.

Sungoan Kim. Arrhythmia Detection Using Rhythm Features of ECG Signal. Journal of The Korea Society of Computer and Information, 18(8), 131-139.

Sungoan Kim. Arrhythmia Detection Using Rhythm Features of ECG Signal. Journal of The Korea Society of Computer and Information. 2013; 18(8) 131-139.

Sungoan Kim. Arrhythmia Detection Using Rhythm Features of ECG Signal. 2013; 18(8), 131-139.

Sungoan Kim. "Arrhythmia Detection Using Rhythm Features of ECG Signal" Journal of The Korea Society of Computer and Information 18, no.8 (2013) : 131-139.