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

Machine Learning (954)

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 Park 1 Author Orcid Image ;   Hangsik Shin 2 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
Junyung Park 1 , MSc ;   Hangsik Shin 2 , PhD

1 Department of Biomedical Engineering , Chonnam National University , Yeosu , KR

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

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
  • KR
  • Phone: 82 2-3010-2099
  • Email: hangsik.shin@gmail.com