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...
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主要な著者: | , , , , , |
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フォーマット: | 論文 |
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Institute of Electrical and Electronics Engineers Inc.
2020
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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 |
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