Listen2YourHeart is a publically available, extendable framework for training Neural Networks via Contrastive SSL learning, for Phonocardiogram classification.

Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"

Final year capstone project for heart disease detection using a multi-modal approach. We trained separate ML models on ECG, PCG, and PPG signals and fused their confidence scores using a mathematical method to provide a more accurate and holistic risk assessment.

The main objective of this project is to design and implement an automatic classification method, CNN, to classify cardiovascular diseases (CVDs). Diseases covered include Mitral Stenosis (MS), Aortic Stenosis (AS), Mitral Regurgitation (MR), Mitral Valve Prolapse (MVP), along with normal heart sound.