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Supervised threshold-based heart sound classification algorithm

Published:2018-11-30 Issue:11 Volume:39 Page:115011
ISSN:1361-6579
Container-title:Physiological Measurement
language:
Short-container-title:Physiol. Meas.

Author:

Han Wei,Yang Zuyuan,Lu Jun,Xie Shengli

Funder

National Natural Science Foundation of China

The Pearl River S&T Nova Program of Guangzhou

The Guangdong Natural Science Funds

Publisher

IOP Publishing

Subject

Physiology (medical),Biomedical Engineering,Physiology,Biophysics

Link

http://iopscience.iop.org/article/10.1088/1361-6579/aae7fa/pdf

Reference29 articles.

1. Automatic heart activity diagnosis based on Gram polynomials and probabilistic neural networks

2. Cardiac sound murmurs classification with autoregressive spectral analysis and multi-support vector machine technique

3. Classification of Normal/Abnormal Heart Sound Recordings: the PhysioNet/Computing in Cardiology Challenge 2016

4. Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database;Electronics;2024-08-14

2. Hilbert domain characterizations of wavelet packets for automated heart sound abnormality detection;Biomedical Signal Processing and Control;2024-04

3. Automated valvular heart disease detection using heart sound with a deep learning algorithm;IJC Heart & Vasculature;2024-04

4. Deep Learning for Heart Sound Analysis: A Literature Review;2023-09-17

5. Classification of unsegmented phonocardiogram signal using scalogram and deep learning;Soft Computing;2023-07-01

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