ecg-fm and ECG-MIMIC
About ecg-fm
bowang-lab/ecg-fm
An electrocardiogram analysis foundation model.
This project provides an advanced tool for analyzing electrocardiogram (ECG) data, helping medical researchers and clinicians extract meaningful insights from heart rhythm recordings. It takes raw ECG signals as input and produces detailed analyses of potential cardiac conditions. This is ideal for those studying heart health or developing diagnostic aids.
About ECG-MIMIC
AI4HealthUOL/ECG-MIMIC
Repository for the paper 'Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care'.
This project offers an AI model to analyze electrocardiogram (ECG) data from emergency department patients. It takes raw ECG signals and patient records to predict a broad spectrum of cardiac and non-cardiac conditions based on the ICD10 classification system. Emergency care physicians and clinical decision support systems can use this as a screening tool to quickly assess patient health.
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