In many low- and middle-income countries, pediatric cardiologists can't help children with congenital heart conditions ...

Pulse-Fi uses a WiFi transmitter and receiver, which runs Pulse-Fi’s signal processing and machine learning algorithm. They ...

This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular diseases ...

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...

Project to evaluate ECG quality and noise level. Contribute to hturbe/ecg_evaluation development by creating an account on GitHub.

The presented machine learning model based on serial ECGs with normal sinus rhythm can predict new‐onset atrial fibrillation more accurately than a machine learning model based on a single ECG.