Detection of heartbeats based on the Bayesian framework

Wen-Long Chin, Jong Hun Yu, Cheng Lung Tseng

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

The detection of heartbeat is an important and challenging issue for health care. This work proposes to estimate the QRS complex parameters based on the maximum-likelihood (ML) principle. To this goal, a new signal model and its Bayesian framework are studied. Detectors or estimators based on the Bayesian framework are considered to be optimal in the statistical signal processing point of view. To reduce the complexity of original method, its iterative counterpart is investigated by using the decomposition method. Detailed information of QRS complexes, including the starting point, duration, and period, can be derived by the proposed method for further medical diagnosis. Simulations using the benchmark MIT-BIH Arrhythmia database verify the advantages of the proposed approaches compared to traditional ones.

原文English
主出版物標題2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面612-616
頁數5
ISBN(電子)9781509023769
DOIs
出版狀態Published - 2017 三月 27
事件2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016 - Beijing, China
持續時間: 2016 八月 132016 八月 15

出版系列

名字2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016

Other

Other2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
國家/地區China
城市Beijing
期間16-08-1316-08-15

All Science Journal Classification (ASJC) codes

  • 訊號處理

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