A Review of Computer-Aided Heart Sound Detection Techniques

Joint Authors

Li, Suyi
Li, Feng
Tang, Shijie
Xiong, Wenji

Source

BioMed Research International

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

Medicine

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