DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model-Reference-Cited by-同舟云学术

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DNN-BP: a novel framework for cuffless blood pressure measurement from optimal PPG features using deep learning model

Published:2024-07-04 Issue: Volume: Page:
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Raju S. M. Taslim Uddin^ORCID,Dipto Safin Ahmed,Hossain Md Imran,Chowdhury Md. Abu Shahid,Haque Fabliha,Nashrah Ayesha Tun,Nishan Araf,Khan Md Mahamudul Hasan,Hashem M. M. A.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11517-024-03157-1.pdf

Reference48 articles.

1. Wu C-Y et al (2015) High blood pressure and all-cause and cardiovascular disease mortalities in community-dwelling older adults. Medicine 94(47)

2. Ma HT (2014) A blood pressure monitoring method for stroke management. BioMed Research International 2014

3. Ding X-R et al (2016) Continuous blood pressure measurement from invasive to unobtrusive: celebration of 200th birth anniversary of Carl Ludwig. IEEE J Biomed Health Inform 20(6):1455–1465

4. Tao K-m, Sokha S, Yuan H-b (2019) Sphygmomanometer for invasive blood pressure monitoring in a medical mission. Anesthesiology 130(2):312–312

5. Chandrasekhar A et al (2018) Smartphone-based blood pressure monitoring via the oscillometric finger-pressing method. Sci Transl Med 10(431):eaap8674

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