A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography-Reference-Cited by-同舟云学术

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A Lightweight Convolutional Neural Network for Personalized Blood Pressure Estimation Based on Photoplethysmography

Published:2024-06-30 Issue: Volume:42 Page:1-10
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

Zhao Jin¹,Zhang Qi²,Qin Caijie³,Lu Tao⁴,Ning Zhaoyi⁴,Guan Qiang⁵,Ma Xibo⁶

Affiliation:

1. CASIA,State Key Laboratory of MAIS,Beijing,China,100190

2. University of Chinese Acad. of Sci,School of AI,Beijing,China,100049

3. Sanming University,Institute of Info. Eng,Sanming,China,365004

4. Harbin University of Sci. & Tech,School of Automation,Harbin,China,150080

5. CASIA,Laboratory of CDICS,Beijing,China,100190

6. Chinese Academy of Sciences,State Key Laboratory of MAIS CASIA, Institute of Automation,Beijing,China,100190

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10649923.pdf?arnumber=10649923

Reference48 articles.

1. The Lancet women and cardiovascular disease Commission: reducing the global burden by 2030

2. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019

3. Intradialytic hypertension: epidemiology and pathophysiology of a silent killer

4. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood PressureThe JNC 7 Report

5. 2013 ESH/ESC Practice Guidelines for the Management of Arterial Hypertension

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