Heart Sound Net: A Deep Learning Framework for Heart Disease Detection using CNN & RCNN

Bhukya Raja Kumar1, Ramireddygari Monika2, Konatham Chennakesavulu3,
Pandillapalli Manideepreddy4, Rajiv Kumar5
1,2,3,4,5,6 Computer Science and Information Technology, Siddharth Institute of Engineering & Technology

Abstract- Heart disease detection plays a crucial role in the early diagnosis and management of cardiovascular diseases. In this study, we explore the application of audio-based methods to detect heart diseases using an audio dataset consisting of heart sounds. The dataset,sourced from Kaggle, contains labeled heart sound recordings categorized as either "Healthy" or "Unhealthy." The proposed approach leverages Convolutional Neural Networks (CNN) and Recurrent Convolutional Neural Networks (RCNN) for classification tasks.