imaging Photoplethysmography (iPPG)

Aug 23, 2021
Code
Machine Learning Deep Learning
Matthieu Scherpf
Matthieu Scherpf
Machine Learning and Data Scientist

Currently, I’m focusing on machine learning and its application to imaging photoplethysmography.

Related

Publications

Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography

Objective: The heart rate is an essential vital sign that can be measured remotely with camera-based photoplethysmography (cbPPG). …
Hannes Ernst, Matthieu Scherpf, Hagen Malberg, Martin Schmidt
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Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography
DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network
Imaging photoplethysmography (iPPG) is a camerabased approach for the remote extraction of the blood volume pulse (BVP) most commonly …
Matthieu Scherpf, Hannes Ernst, Hagen Malberg, Martin Schmidt
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DeepPerfusion: Camera-based Blood Volume Pulse Extraction Using a 3D Convolutional Neural Network
Color Spaces and Regions of Interest in Camera Based Heart Rate Estimation
Camera-based heart rate (HR) estimation is used with different color spaces and regions of interest (ROIs). In this work, seven …
Hannes Ernst, Matthieu Scherpf, Hagen Malberg, Martin Schmidt
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Color Spaces and Regions of Interest in Camera Based Heart Rate Estimation
Camera-based photoplethysmography (cbPPG) to measure the change in perfusion after local negative pressure therapy
Camera-based photoplethysmography (cbPPG) allows the contactless measurement of various vital signs. Using this method, our goal is to …
Alexander Hammer, Matthieu Scherpf, Judy Hoffmüller, Adrian Dragu, Klaus Matschke, Hagen Malberg, Olimpiu Bota
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Camera-based photoplethysmography (cbPPG) to measure the change in perfusion after local negative pressure therapy