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

• Main Authors: Noman, F., Salleh, S. H., Ting, C. M., Samdin, S. B., Ombao, H., Hussain, H.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: Q Science (General)
• Online Access: http://eprints.utm.my/id/eprint/86186/; https://dx.doi.org/10.1109/JBHI.2019.2925036
• Institution: Universiti Teknologi Malaysia

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...