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.
Highlights
With the prevalence of unhealthy living habits, cardiovascular disease (CVD) has become one of the major threats to human health
Heart sounds—the sounds made by the heart systole and diastole—can be recorded as heart sound signals, known as phonocardiography (PCG), whose acquisition is noninvasive and easy. rough PCG data processing and analyzing, the results can be used as an assistant diagnostic tool for the prediction of cardiovascular diseases
Vibrations caused by cardiac activities such as myocardial contraction, heart valve closure, and occlusion of the ventricular wall are transmitted through the tissue to the surface of the chest wall and form the heart sound signals that can be perceived by the human ear and recorded with electronic instruments
Summary
With the prevalence of unhealthy living habits, cardiovascular disease (CVD) has become one of the major threats to human health. Computer-aided detection technology is a fast, e cient and economical tool [2], which can be applied to quantitative acquisition and the analysis of heart sound signals. Computer-aided detection technology for the heart sound signals processing and analysis has made remarkable achievements and aroused wide interest [3, 4]. Erefore, the research and application of computer-aided techniques for heart sound detection will greatly promote development in the eld of cardiovascular disease diagnosis. Computer-aided detection techniques for heart sound analysis can obtain the quantized characteristic parameters, which are helpful to nd the relationship between the heart sounds and the related diseases. Some promising research areas in computer-aided heart sound detection techniques are recommended
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