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

mHealth for Screening (213) New Methods (944) Wearable Devices and Sensors (888) Apps, Mobile, Wearables for Diabetes (298) Hypertension Prevention and Treatment (224) Novel Sensors and Data Acquisition Methods in Cardiology (196)

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 Hao1 Author Orcid Image ;   Feng Cheng2 Author Orcid Image ;   Minh Pham3 Author Orcid Image ;   Hayley Rein4 Author Orcid Image ;   Devashru Patel5 Author Orcid Image ;   Yuchen Fang1 Author Orcid Image ;   Yiyi Feng1 Author Orcid Image ;   Jin Yan6 Author Orcid Image ;   Xueyang Song1 Author Orcid Image ;   Haixia Yan1 Author Orcid Image ;   Yiqin Wang1 Author Orcid Image
Article Authors Cited by (29) 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