ecgResearch/HeartBert

repo for the HeartBERT model

30
/ 100
Emerging

This project helps medical researchers and clinicians analyze Electrocardiogram (ECG) data more effectively. It takes raw ECG signals, translates them into a text-like format, and uses a specialized AI model to identify patterns. The output helps with tasks like classifying sleep stages or diagnosing heart conditions, providing valuable insights for medical research and clinical decisions.

Use this if you need to analyze ECG signals for medical research, specifically for tasks like sleep stage classification or heart disease diagnosis, and require a specialized model trained on extensive physiological data.

Not ideal if you are working with non-ECG medical data or require a general-purpose language model for broad medical text analysis rather than signal interpretation.

ECG-analysis cardiology sleep-medicine medical-diagnosis physiological-signal-processing
No License No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 11 / 25

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Last pushed

Oct 16, 2025

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