cardiology-ai

A toolkit for BLE digital stethoscopes — capture, DSP, log-mel spectrograms, and murmur classification on the Apple Neural Engine

Rust BLE workbench for the Kardia 6L ECG

Advanced machine learning system for cardiovascular disease risk prediction using clinical biomarkers and patient health indicators

An interactive tool for the estimation of achieving LDLc <55 mg/dl after an ACS

PulsePath: A Transformers-GRU Hybrid Model for Monitoring SV Arrhythmias Using Wearable Arduino ECG for WPW’s Patients (Synopsys 25-26)

AI-assisted wireless stethoscope integrating on-device deep learning for non-invasive heart disease screening.

This repository contains Python code for the analysis of Electrocardiogram (ECG) and Phonocardiogram (PCG) signals to detect Heart Failure with Reduced Ejection Fraction (HFrEF).