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

Machine Learning (1465) Wearable Devices and Sensors (888) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Fitness Trackers and Smart Pedometers/Accelerometers (561) Novel Sensors and Data Acquisition Methods in Cardiology (196) Electronic Health Records (1053) Memory (43)

Published on in Vol 9, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18803, first published .
TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

TOP-Net Prediction Model Using Bidirectional Long Short-term Memory and Medical-Grade Wearable Multisensor System for Tachycardia Onset: Algorithm Development Study

Authors of this article:

Xiaoli Liu1 Author Orcid Image ;   Tongbo Liu2 Author Orcid Image ;   Zhengbo Zhang3, 4 Author Orcid Image ;   Po-Chih Kuo5 Author Orcid Image ;   Haoran Xu6 Author Orcid Image ;   Zhicheng Yang7 Author Orcid Image ;   Ke Lan8 Author Orcid Image ;   Peiyao Li9 Author Orcid Image ;   Zhenchao Ouyang10 Author Orcid Image ;   Yeuk Lam Ng11 Author Orcid Image ;   Wei Yan12 Author Orcid Image ;   Deyu Li1 Author Orcid Image
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