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This is the offical code repository accompanying our paper on Self-supervised representation learning from 12-lead ECG data. For a detailed description of technical details and experimental results, ...
A new AI-enhanced ECG model, AIRE, accurately predicts mortality and heart disease risk, providing clinicians with actionable ...
How can heart rhythm and blood sugar possibly ... producing particular changes that can be seen on an ECG. Researchers have used machine learning to analyze ECGs and develop algorithms based ...
By The Learning Network How do you feel about automated vehicles? What effects do you think they will have on your generation? Read this article and post your comments and questions for Matt ...
Garmin’s ECG functionality only extends to on-the-spot readings at present and works to distinguish between normal sinus rhythms and signs of atrial fibrillation (AFib).
Keywords: theta rhythm, learning, memory, associative experiences, neural activity, synchronization, CA1, CA3. dentate gyrus, GABAergic neurons, hippocampus, temporal lobe epilepsy, neurological ...