A Review of Computer-Aided Heart Sound Detection Techniques
Joint Authors
Li, Suyi
Li, Feng
Tang, Shijie
Xiong, Wenji
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-10
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Suyi& Li, Feng& Tang, Shijie& Xiong, Wenji. 2020. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1135007
Modern Language Association (MLA)
Li, Suyi…[et al.]. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1135007
American Medical Association (AMA)
Li, Suyi& Li, Feng& Tang, Shijie& Xiong, Wenji. A Review of Computer-Aided Heart Sound Detection Techniques. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1135007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135007