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A Review of Computer-Aided Heart Sound Detection Techniques
Cardiovascular diseases have become one of the most prevalent threats to human health throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection techniques play an important role in the prediction of cardiovascular diseases. In this paper, the latest development of t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201685/ https://www.ncbi.nlm.nih.gov/pubmed/32420352 http://dx.doi.org/10.1155/2020/5846191 |
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author | Li, Suyi Li, Feng Tang, Shijie Xiong, Wenji |
author_facet | Li, Suyi Li, Feng Tang, Shijie Xiong, Wenji |
author_sort | Li, Suyi |
collection | PubMed |
description | Cardiovascular diseases have become one of the most prevalent threats to human health throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection techniques play an important role in the prediction of cardiovascular diseases. In this paper, the latest development of the computer-aided heart sound detection techniques over the last five years has been reviewed. There are mainly the following aspects: the theories of heart sounds and the relationship between heart sounds and cardiovascular diseases; the key technologies used in the processing and analysis of heart sound signals, including denoising, segmentation, feature extraction and classification; with emphasis, the applications of deep learning algorithm in heart sound processing. In the end, some areas for future research in computer-aided heart sound detection techniques are explored, hoping to provide reference to the prediction of cardiovascular diseases. |
format | Online Article Text |
id | pubmed-7201685 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72016852020-05-15 A Review of Computer-Aided Heart Sound Detection Techniques Li, Suyi Li, Feng Tang, Shijie Xiong, Wenji Biomed Res Int Review Article Cardiovascular diseases have become one of the most prevalent threats to human health throughout the world. As a noninvasive assistant diagnostic tool, the heart sound detection techniques play an important role in the prediction of cardiovascular diseases. In this paper, the latest development of the computer-aided heart sound detection techniques over the last five years has been reviewed. There are mainly the following aspects: the theories of heart sounds and the relationship between heart sounds and cardiovascular diseases; the key technologies used in the processing and analysis of heart sound signals, including denoising, segmentation, feature extraction and classification; with emphasis, the applications of deep learning algorithm in heart sound processing. In the end, some areas for future research in computer-aided heart sound detection techniques are explored, hoping to provide reference to the prediction of cardiovascular diseases. Hindawi 2020-01-10 /pmc/articles/PMC7201685/ /pubmed/32420352 http://dx.doi.org/10.1155/2020/5846191 Text en Copyright © 2020 Suyi Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Li, Suyi Li, Feng Tang, Shijie Xiong, Wenji A Review of Computer-Aided Heart Sound Detection Techniques |
title | A Review of Computer-Aided Heart Sound Detection Techniques |
title_full | A Review of Computer-Aided Heart Sound Detection Techniques |
title_fullStr | A Review of Computer-Aided Heart Sound Detection Techniques |
title_full_unstemmed | A Review of Computer-Aided Heart Sound Detection Techniques |
title_short | A Review of Computer-Aided Heart Sound Detection Techniques |
title_sort | review of computer-aided heart sound detection techniques |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7201685/ https://www.ncbi.nlm.nih.gov/pubmed/32420352 http://dx.doi.org/10.1155/2020/5846191 |
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