A Machine Learning Approach to Estimate Continuous Blood Pressure From Photoplethysmography-Reference-Cited by-同舟云学术

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A Machine Learning Approach to Estimate Continuous Blood Pressure From Photoplethysmography

Published:2023-12-21 Issue: Volume:2 Page:1-7
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Khan Pathan Fayaz¹,Senthilnathan Sengottuvel²

Affiliation:

1. Homi Bhabha National Institute, Indira Gandhi Centre for Atomic Research,SQUID & Detector Technology Division, Materials Science Group,Kalpakkam,India,603102

2. SQUID & Detector Technology Division, Materials Science Group, Indira Gandhi Centre for Atomic Research,Kalpakkam,India,603102

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452561.pdf?arnumber=10452561

Reference18 articles.

1. Cardiovascular risk stratification. Systolic, diastolic or pulse pressure?;Pede;Ital. Heart J. Suppl.,2001

2. Oscillometric blood pressure measurement: progress and problems

3. Pulse Wave Velocity as a Measure of Blood Pressure Change

4. Cuffless blood pressure estimation using only a smartphone

5. Fish consumption and cardiovascular response during mental stress

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