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Heartbeat classification for detecting arrhythmia using normalized beat morphology features
- Park, Juyoung;
- Kang, Mingon;
- Kim, Younghoon;
- Kang, Kyungtae
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2초록
We propose a method of arrhythmia detection based on beat morphology, which offers a new set of features for heartbeat classification. This can be performed by nearest-neighbor search, which we applied to heartbeats from the MIT-BIH arrhythmia database. Our classifier achieved an overall accuracy of 98.18% on 103,923 heartbeats. © 2015 IEEE.
키워드
beat morphology; ECG; heartbeat classification; Bioinformatics; Diseases; Electrocardiography; Morphology; Nearest neighbor search; Arrhythmia detection; Heartbeat classifications; Overall accuracies; Feature extraction
- 제목
- Heartbeat classification for detecting arrhythmia using normalized beat morphology features
- 저자
- Park, Juyoung; Kang, Mingon; Kim, Younghoon; Kang, Kyungtae
- 발행일
- 2015-11
- 유형
- Conference Paper
- 저널명
- Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015
- 페이지
- 1743 ~ 1744
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 발행국가
- 미국
- 분량
- 2 페이지