aristotelisballas/listen2yourheart
Listen2YourHeart is a publically available, extendable framework for training Neural Networks via Contrastive SSL learning, for Phonocardiogram classification.
This project helps medical researchers and developers build and evaluate AI models for classifying heart sounds (phonocardiograms). You input raw heart sound recordings from various medical databases, and the system outputs trained neural network models capable of identifying heart conditions based on these sounds. It is designed for researchers or data scientists working on medical diagnostics and bioacoustics.
No commits in the last 6 months.
Use this if you are a medical researcher or data scientist needing a framework to develop and test machine learning models for heart sound classification, especially when using self-supervised learning techniques.
Not ideal if you are looking for a ready-to-use application for diagnosing heart conditions or a simple tool for basic audio analysis.
Stars
13
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/aristotelisballas/listen2yourheart"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
DeepPSP/torch_ecg
Deep learning ECG models implemented using PyTorch
im-ethz/flirt
Are you ready to FLIRT with your wearable data?
Edoar-do/HuBERT-ECG
A self-supervised foundation ECG model for broad and scalable cardiac applications
bowang-lab/ecg-fm
An electrocardiogram analysis foundation model.
antonior92/automatic-ecg-diagnosis
Scripts and modules for training and testing neural network for ECG automatic classification....