Open AccessUsefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram
Author(s) -
KuanCheng Chang,
Po-Hsin Hsieh,
Mei-Yao Wu,
Yu-Chen Wang,
Jung-Ting Wei,
Edward S. C. Shih,
MingJing Hwang,
Wan-Ying Lin,
WanTing Lin,
Kuan-Jung Lee,
Ti-Hao Wang
Publication year - 2021
Publication title -
european heart journal. digital health
Language(s) - English
Resource type - Journals
ISSN - 2634-3916
DOI - 10.1093/ehjdh/ztab029
Subject(s) - medicine , myocardial infarction , cardiology , electrocardiography , rhythm , st elevation , medical diagnosis , artificial intelligence , radiology , computer science
To develop an artificial intelligence-based approach with multi-labelling capability to identify both ST-elevation myocardial infarction (STEMI) and 12 heart rhythms based on 12-lead electrocardiograms (ECGs).