Heart disease, including coronary artery disease (CAD) and valvular heart disease (VHD), is the leading cause of mortality and morbidity in the world. Early diagnosis is important to prevent further development of the disease. Whilst standard diagnosis methods can be highly costly and invasive, by analysing heart murmur sounds via a phonocardiogram (PCG), patterns in the heart sound characteristics can be readily detected. The intensity, timing, and duration of the heart's sounds can correspond to murmurs, valvular issues, or congenital heart defects. Sounds are recorded using electronic stethoscopes to detect abnormalities not audible to the human ear. This technology is unique in its ability to be deployed in remote and underserved areas to aid in the timely diagnosis of heart diseases.

Multichannel Heart Sound Signal Processing and Classification: A concise overview explores advanced heart sound signal processing techniques, covering signal acquisition, pre-processing, segmentation, feature selection, and classification.

Covering practical wearable systems and machine learning, multichannel signal processing, and feature extraction methods for improving non-invasive, affordable diagnosis of various heart diseases and congenital heart defects, the book is suitable for an audience of scientists, researchers, physicians, biomedical and electronics engineers, and those working in the medical technology industry to broaden their perspective on heart sound signal processing.