A Review of Computer-Aided Heart Sound Detection Techniques

• Published in: BioMed research international Vol. 2020; no. 2020; pp. 1 - 10
• Main Authors: Xiong, Wenji, Tang, Shijie, Li, Feng, Li, Suyi
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc
• Subjects: 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; Canada; China
• ISSN: 2314-6133; 2314-6141; 2314-6141
• DOI: 10.1155/2020/5846191

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.