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
Article Authors Cited by (17) Tweetations (1) Metrics

Xiaoli Liu   1 * , BSc ;   Tongbo Liu   2 * , BSc ;   Zhengbo Zhang   3, 4 * , DPhil ;   Po-Chih Kuo   5 , DPhil ;   Haoran Xu   6 , BSc ;   Zhicheng Yang   7 , DPhil ;   Ke Lan   8 , MSc ;   Peiyao Li   9 , MSc ;   Zhenchao Ouyang   10 , DPhil ;   Yeuk Lam Ng   11 , BSc ;   Wei Yan   12 , MD ;   Deyu Li   1 , DPhil

1 Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China

2 Department of Computer Management and Application, Chinese PLA General Hospital, Beijing, China

3 Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing, China

4 Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing, China

5 Laboratory for Computational Physiology, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States

6 Medical School of Chinese PLA, Beijing, China

7 US Research Lab, PingAn Tech, San Francisco, CA, United States

8 Beijing SensEcho Science & Technology Co., Ltd, Beijing, China

9 Department of Computer Science and Technology, Tsinghua University, Beijing, China

10 Hangzhou Innovation Institute, Beihang University, Beijing, China

11 Faculty of Arts & Science, University of Toronto, Toronto, ON, Canada

12 Department of Hyperbaric Oxygen, Chinese PLA General Hospital, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Deyu Li, DPhil
  • Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering
  • Beihang University
  • No. 37 Xueyuan Road, Haidian District
  • Beijing, 100083
  • China
  • Phone: 86 010-82339093
  • Fax: 86 10-82328036
  • Email: deyuli@buaa.edu.cn