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

Hypertension Prevention and Treatment (242) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1503) Cardiology (181) Novel Sensors and Data Acquisition Methods in Cardiology (209) Cardiac Diagnostics (20) Machine Learning (1627) Machine Learning (61) Artificial Intelligence (1602)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60238, first published .
Causal Inference for Hypertension Prediction With Wearable Electrocardiogram and Photoplethysmogram Signals: Feasibility Study

Causal Inference for Hypertension Prediction With Wearable Electrocardiogram and Photoplethysmogram Signals: Feasibility Study

Causal Inference for Hypertension Prediction With Wearable Electrocardiogram and Photoplethysmogram Signals: Feasibility Study

Authors of this article:

Ke Gong1 Author Orcid Image ;   Yifan Chen1 Author Orcid Image ;   Xinyue Song1 Author Orcid Image ;   Zhizhong Fu1 Author Orcid Image ;   Xiaorong Ding1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Ke Gong   1 , MEng ;   Yifan Chen   1 , PhD ;   Xinyue Song   1 , MEng ;   Zhizhong Fu   1 , MEng ;   Xiaorong Ding   1 , PhD

1 School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China

Corresponding Author:

  • Xiaorong Ding, PhD
  • School of Life Science and Technology
  • University of Electronic Science and Technology of China
  • Research Building C348A, 3rd Fl
  • Chengdu, 611731
  • China
  • Phone: 86 18030493605
  • Email: xiaorong.ding@uestc.edu.cn