This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2748) Novel Sensors and Data Acquisition Methods in Cardiology (190) Decision Support for Health Professionals (1127) New Methods (901) Wearable Devices and Sensors (811) Machine Learning (1370) Artificial Intelligence (1186) mHealth for Diagnosis (48) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) mHealth for Telemedicine and Homecare (362) e-Cardiology and Telemonitoring in Cardiology (150) Myocardial Infarction (Heart Attack) (38)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31129, first published .
Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Authors of this article:

Changho Han1 Author Orcid Image ;   Youngjae Song2 Author Orcid Image ;   Hong-Seok Lim3 Author Orcid Image ;   Yunwon Tae2 Author Orcid Image ;   Jong-Hwan Jang1 Author Orcid Image ;   Byeong Tak Lee2 Author Orcid Image ;   Yeha Lee2 Author Orcid Image ;   Woong Bae2 Author Orcid Image ;   Dukyong Yoon1, 4 Author Orcid Image
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