Assessing electrocardiogram changes after ischemic stroke with artificial intelligence.

Ziqiang ZengQixuan WangYingjing YuYichu ZhangQi ChenWeiming LouYuting WangLingyu YanZujue ChengLijun XuYingping YiGuangqin FanLibin Deng

Published in: PloS one (2022)

Our study showed that a high proportion of post-IS ECGs harbored abnormal changes. Our CNN model can systematically assess anomalies in and prognosticate post-IS ECGs.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
atrial fibrillation
convolutional neural network