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

Machine Learning (1465)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33439, first published .
Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study

Authors of this article:

Junyung Park1 Author Orcid Image ;   Hangsik Shin2 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Junyung Park   1 , MSc ;   Hangsik Shin   2 , PhD

1 Department of Biomedical Engineering, Chonnam National University, Yeosu, Republic of Korea

2 Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

Corresponding Author:

  • Hangsik Shin, PhD
  • Department of Convergence Medicine
  • Asan Medical Center
  • University of Ulsan College of Medicine
  • 388-1 Pungnap-dong
  • Songpa-gu
  • Seoul, 05505
  • Republic of Korea
  • Phone: 82 2-3010-2099
  • Email: hangsik.shin@gmail.com