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

mHealth for Screening (165) New Methods (795) Wearable Devices and Sensors (731) Apps, Mobile, Wearables for Diabetes (267) Hypertension Prevention and Treatment (180) Novel Sensors and Data Acquisition Methods in Cardiology (172)

Published on in Vol 7, No 4 (2019): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11959, first published .
A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse Wave: Case-Control Study

A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse Wave: Case-Control Study

A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse Wave: Case-Control Study

Authors of this article:

Yiming Hao 1 Author Orcid Image ;   Feng Cheng 2 Author Orcid Image ;   Minh Pham 3 Author Orcid Image ;   Hayley Rein 4 Author Orcid Image ;   Devashru Patel 5 Author Orcid Image ;   Yuchen Fang 1 Author Orcid Image ;   Yiyi Feng 1 Author Orcid Image ;   Jin Yan 6 Author Orcid Image ;   Xueyang Song 1 Author Orcid Image ;   Haixia Yan 1 Author Orcid Image ;   Yiqin Wang 1 Author Orcid Image
Article Authors Cited by (27) Tweetations (2) Metrics

Yiming Hao   1 * , MD ;   Feng Cheng   2 * , PhD ;   Minh Pham   3 , MA ;   Hayley Rein   4 , BSc ;   Devashru Patel   5 , UG ;   Yuchen Fang   1 , UG ;   Yiyi Feng   1 , UG ;   Jin Yan   6 , BMed ;   Xueyang Song   1 , BMed ;   Haixia Yan   1 , MD ;   Yiqin Wang   1 , MD

1 Shanghai Key Laboratory of Health Identification and Assessment/Laboratory of Traditional Chinese Medicine Four Diagnostic Information, Shanghai University of Traditional Chinese Medicine, Shanghai, China

2 Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, United States

3 Department of Mathematics and Statistics, College of Arts and Sciences, University of South Florida, Tampa, FL, United States

4 Department of Cellular and Molecular Biology, College of Arts and Sciences, University of South Florida, Tampa, FL, United States

5 College of Computing, Georgia Institute of Technology, Atlanta, GA, United States

6 Jiangsu Province Hospital of Chinese Medicine, Nanjing, China

*these authors contributed equally

Corresponding Author:

  • Yiqin Wang, MD
  • Shanghai Key Laboratory of Health Identification and Assessment/Laboratory of Traditional Chinese Medicine Four Diagnostic Information
  • Shanghai University of Traditional Chinese Medicine
  • 1200 Cailun Road
  • Shanghai
  • China
  • Phone: 86 21-51322447
  • Email: wangyiqin2380@sina.com