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

Development of Novel Medical Devices and Innovations for Existing Devices (84) Digital Biomarkers and Digital Phenotyping (215) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1523) JMIR Theme Issue: COVID-19 Special Issue (2473) New Methods (990) mHealth for Diagnosis (66) Ubiquitous Health (uHealth) (129)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50924, first published .
Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Severity Classification Using Dynamic Time Warping–Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study

Authors of this article:

Teruhisa Watase1 Author Orcid Image ;   Yasuhiro Omiya2 Author Orcid Image ;   Shinichi Tokuno1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Teruhisa Watase   1 , BSc, MPH ;   Yasuhiro Omiya   2 , ME, PhD ;   Shinichi Tokuno   1 , MD, PhD

1 Gradutate School of Health Innovation, Kanagawa University of Human Service, Kawasaki, Kanagawa, Japan

2 Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

Corresponding Author:

  • Teruhisa Watase, BSc, MPH
  • Gradutate School of Health Innovation
  • Kanagawa University of Human Service
  • RGB 2A, 3-25-10 Tonomachi
  • Kawasaki-ku
  • Kawasaki, Kanagawa, 2100821
  • Japan
  • Phone: 81 44-589-8100
  • Fax: 81 44-589-8188
  • Email: terrywatase@gmail.com