Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning

Assessment of Non-Invasive Blood Pressure Prediction from PPG and rPPG Signals Using Deep Learning

Exploiting photoplethysmography signals (PPG) for non-invasive blood pressure (BP) measurement is interesting for various reasons. First, PPG can easily be measured using fingerclip sensors. Second, camera based approaches allow to derive remote PPG (rPPG) signals similar to PPG and therefore provid...

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Bibliographic Details
Main Authors: Fabian Schrumpf, Patrick Frenzel, Christoph Aust, Georg Osterhoff, Mirco Fuchs
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
cuffless blood pressure
deep learning
convolutional neural network
long short-term memory
blood pressure estimation
photoplethysmogram
Online Access:https://www.mdpi.com/1424-8220/21/18/6022

Internet

https://www.mdpi.com/1424-8220/21/18/6022

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