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

mHealth for Screening (221) New Methods (963) Wearable Devices and Sensors (903) Apps, Mobile, Wearables for Diabetes (306) Hypertension Prevention and Treatment (229) Novel Sensors and Data Acquisition Methods in Cardiology (200)

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

Journals

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  20. Bi Z, Yao X, Hu X, Yuan P, Guo X, Guo Z, Wang S, Li J, Shi Y, Li J, Cui J, Xu J, Hashmi M. Assessment Parameters for Arrayed Pulse Wave Analysis and Application in Hypertensive Disorders. Evidence-Based Complementary and Alternative Medicine 2022;2022:1 View
  21. Wu W, Chen R, Guo R, Yan J, Zhang C, Wang Y, Yan H, Zhang Y. A novel method for assessing cardiac function in patients with coronary heart disease based on wrist pulse analysis. Irish Journal of Medical Science (1971 -) 2023;192(6):2697 View
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Books/Policy Documents

  1. E. S. Handbook of Research on AI Methods and Applications in Computer Engineering. View