A markov-switching model approach to heart sound segmentation and classification

Objective: We consider challenges in accurate segmentation of heart sound signals recorded under noisy clinical environments for subsequent classification of pathological events. Existing state-of-the-art solutions to heart sound segmentation use probabilistic models such as hidden Markov models (HM...

詳細記述

保存先:
書誌詳細
主要な著者: Noman, F., Salleh, S. H., Ting, C. M., Samdin, S. B., Ombao, H., Hussain, H.
フォーマット: 論文
出版事項: Institute of Electrical and Electronics Engineers Inc. 2020
主題:
オンライン・アクセス:http://eprints.utm.my/id/eprint/86186/
https://dx.doi.org/10.1109/JBHI.2019.2925036
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!