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...
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| Published in | BioMed research international Vol. 2020; no. 2020; pp. 1 - 10 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cairo, Egypt
Hindawi Publishing Corporation
2020
Hindawi John Wiley & Sons, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2314-6133 2314-6141 2314-6141 |
| DOI | 10.1155/2020/5846191 |
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| Abstract | 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. |
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| AbstractList | 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. 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.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. |
| Audience | Academic |
| Author | Li, Feng Xiong, Wenji Li, Suyi Tang, Shijie |
| AuthorAffiliation | 2 The First Hospital of Jilin University, Changchun, China 1 College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China |
| AuthorAffiliation_xml | – name: 2 The First Hospital of Jilin University, Changchun, China – name: 1 College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China |
| Author_xml | – sequence: 1 fullname: Xiong, Wenji – sequence: 2 fullname: Tang, Shijie – sequence: 3 fullname: Li, Feng – sequence: 4 fullname: Li, Suyi |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32420352$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | Copyright © 2020 Suyi Li et al. COPYRIGHT 2020 John Wiley & Sons, Inc. Copyright © 2020 Suyi Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0 Copyright © 2020 Suyi Li et al. 2020 |
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| SubjectTerms | Accuracy Acoustics Algorithms Analysis Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - diagnosis Coronary artery disease Data mining Decomposition Deep Learning Diagnostic software Diagnostic systems Electrocardiography Feature extraction Health aspects Health risks Heart Heart Auscultation - classification Heart Auscultation - methods Heart diseases Heart Sounds - physiology Humans Machine learning Noise Noise reduction Pulmonary arteries Review Segmentation Signal processing Signal Processing, Computer-Assisted Sound Sound processing Wavelet transforms |
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| Title | A Review of Computer-Aided Heart Sound Detection Techniques |
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