심박간격의 마코프 국면전환 모형화를 통한 심방세동 탐지 Detection of Atrial Fibrillation Using Markov Regime Switching Models of Heart Rate Intervals

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This paper proposes a new method for the automatic detection of atrial fibrillation (AF), using Markov regime switching GARCH (1, 1) model. The proposed method is based on the observation that variability patterns of heart rate intervals during AF significantly differ from regular patterns. The proposed method captures the different patterns of heart rate intervals between two regimes : normal and AF states. We test the proposed method using Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) atrial fibrillation database, and demonstrate the effectiveness of the proposed method.
Publisher
대한산업공학회
Issue Date
2016-08
Language
Korean
Citation

대한산업공학회지, v.42, no.4, pp.290 - 295

ISSN
1225-0988
DOI
10.7232/JKIIE.2016.42.4.290
URI
http://hdl.handle.net/10203/213546
Appears in Collection
IE-Journal Papers(저널논문)
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