Next-Generation Computing Systems and Technologies | Volume 2, Issue 2: 59-63, 2026 | DOI: 10.62762/NGCST.2026.345581
Abstract
There is an increase in heart diseases at a very high rate in today's world, and therefore early detection becomes a necessity in the treatment of such cases. In this paper, we present a digital stethoscope with AI and ML that records heart sounds automatically. Phonocardiogram (PCG) signals are recorded by the system, and the recorded signals are then processed using filtering, normalization, and peak detection to obtain features including heart sounds S1 and S2. The extracted features are fed into the classification algorithm, which in this case is the Random Forest Classifier, and they are classified as either abnormal or normal heart conditions. IoT is implemented in the system to ensure... More >
Graphical Abstract