CiGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation-Reference-Cited by-同舟云学术

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CiGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation

Published:2024-05 Issue:5 Volume:28 Page:2674-2686
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Liu Lei¹^ORCID,Lu Huiqi²^ORCID,Whelan Maxine³^ORCID,Chen Yifan¹^ORCID,Ding Xiaorong¹^ORCID

Affiliation:

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

2. Institute of Biomedical Engineering, University of Oxford, Oxford, U.K.

3. Centre for Healthcare and Communities, Coventry University, Coventry, U.K.

Funder

Sichuan Science and Technology Program

National Natural Science Foundation of China

Royal Academy of Engineering Daphne Jackson Trust Fellowship grant

EPSRC Healthcare Technologies Challenge Award

Wellcome Trust

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10472032.pdf?arnumber=10472032

Reference45 articles.

1. 2014 Evidence-Based Guideline for the Management of High Blood Pressure in Adults

2. Impact of hypertension prevalence trend on mortality and burdens of dementia and disability in England and Wales to 2060: a simulation modelling study

3. Measuring the efficacy of antihypertensive therapy by ambulatory blood pressure monitoring in the primary care setting

4. Ambulatory Blood-Pressure Monitoring

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