Logistic Regression-HSMM-Based Heart Sound Segmentation

IEEE Transactions on Bio-medical Engineering
David SpringerGari Clifford

Abstract

The identification of the exact positions of the first and second heart sounds within a phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic analysis of heart sound recordings, allowing for the classification of pathological events. While threshold-based segmentation methods have shown modest success, probabilistic models, such as hidden Markov models, have recently been shown to surpass the capabilities of previous methods. Segmentation performance is further improved when a priori information about the expected duration of the states is incorporated into the model, such as in a hidden semi-Markov model (HSMM). This paper addresses the problem of the accurate segmentation of the first and second heart sound within noisy real-world PCG recordings using an HSMM, extended with the use of logistic regression for emission probability estimation. In addition, we implement a modified Viterbi algorithm for decoding the most likely sequence of states, and evaluated this method on a large dataset of 10,172 s of PCG recorded from 112 patients (including 12,181 first and 11,627 second heart sounds). The proposed method achieved an average F1 score of 95.63 ± 0.85%, while the current state of the art ac...Continue Reading

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Citations

Jul 12, 2017·Physiological Measurement·Gari D CliffordRoger G Mark
Jun 1, 2017·Physiological Measurement·Bradley M WhitakerDavid V Anderson
Jan 10, 2018·Frontiers in Bioengineering and Biotechnology·Saeed Abdulrahman AlnuaimiAhsan H Khandoker
Jul 22, 2018·Physiological Measurement·Faezeh MarzbanradGari D Clifford
Jun 26, 2020·Physiological Measurement·Nasim KatebiGari D Clifford
Jun 1, 2017·Physiological Measurement·F PlesingerP Jurak
Aug 3, 2018·Scientific Reports·Christoph WillAlexander Koelpin
Aug 17, 2018·BioMed Research International·Hong TangChengyu Liu
May 19, 2020·BioMed Research International·Suyi LiWenji Xiong
Jun 12, 2020·Physical and Engineering Sciences in Medicine·Palani Thanaraj KrishnanSnekhalatha Umapathy
Nov 7, 2019·Sensors·Ali RazaByung-Won On
May 1, 2021·Biosensors·Kuo-Kun TsengWai-Hung Ip

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