The Mirror29 日
'Artificial Intelligence reading ECGs to predict heart attacks and patient deaths'
Artificial Intelligence is revolutionising medical research with new discoveries, not least those revealing the secrets of ECGs (electrocardiograms) that our eyes can’t see. And in doing so AI ...
BMJ2年
33 Multifocal atrial rhythm and other rhythm disturbances: analysis of direct access 12 ...
Background Clear epidemiological data regarding rhythm disturbances in 12-lead ECGs is lacking. Rhythm disturbances in the Holter recordings of healthy subjects are well described. This study analyses ...
GitHub2年
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
This repository includes the implentation of R peak detection method in Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. The China Physiological Signal Challenge ...
mayo3年
EvALuation of ECG transmission and AI models using Apple watch ECGs and symptoms data ...
The purpose of this study is to assess cardiovascular health and detect unknown and asymptomatic diseases using Mayo AI-ECG algorithms. We hypothesize that using single lead ECGs and symptoms data ...