Deep Learning Model for Blood Pressure Estimation from PPG Signal
Author:
Affiliation:
1. Electronics and Telecommunications Research Institute,Daegu-Gyeongbuk Research Center,Daegu,Korea
Funder
Electronics and Telecommunications Research Institute
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9967443/9967445/09967606.pdf?arnumber=9967606
Reference22 articles.
1. Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches
2. Continuous and noninvasive estimation of arterial blood pressure using a photoplethysmographic approach
3. Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time
4. Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring
5. Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
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1. Tiny-PPG: A lightweight deep neural network for real-time detection of motion artifacts in photoplethysmogram signals on edge devices;Internet of Things;2024-04
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