Accessibility settings

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

Mobile Health (mhealth) (3749) New Methods (1202) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1854) Decision Support for Health Professionals (1699) Wearable Devices and Sensors (1253) mHealth for Telemedicine and Homecare (582) Machine Learning (2313) Novel Sensors and Data Acquisition Methods in Cardiology (239) e-Cardiology and Telemonitoring in Cardiology (239) Myocardial Infarction (Heart Attack) (60) Artificial Intelligence (2465) mHealth for Diagnosis (90) Signal Processing (14)

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 .
Smartwatch displays EKG on wrist, monitoring heart health near computer showing heart diagram.

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
Article Authors Cited by (24) Tweetations (27) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.