AutoECG/Automated-ECG-Interpretation
AI-based ECG interpretation will assist specialists, recently graduated doctors and even non-cardiology professionals in diagnosing various illnesses utilizing the ECG.
This project helps medical professionals quickly interpret Electrocardiogram (ECG) readings to diagnose various heart conditions. You input raw 12-lead ECG waveform data, and it outputs an automated interpretation of potential cardiac issues, classifying them into categories like Myocardial Infarction or Conduction Disturbance. This tool is designed for specialists, recently graduated doctors, and non-cardiology professionals who need assistance in ECG diagnosis.
No commits in the last 6 months.
Use this if you need an automated second opinion or quick preliminary analysis of 12-lead ECG data to help diagnose cardiac conditions.
Not ideal if you require real-time, on-device ECG interpretation for immediate patient monitoring or if you are looking for a certified medical device rather than a diagnostic support system.
Stars
18
Forks
13
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Sep 23, 2022
Commits (30d)
0
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