Matthieu Scherpf
Matthieu Scherpf
Institute of Biomedical Engineering, TU Dresden
Verified email at - Homepage
Cited by
Cited by
Predicting sepsis with a recurrent neural network using the MIMIC III database
M Scherpf, F Gräßer, H Malberg, S Zaunseder
Computers in biology and medicine 113, 103395, 2019
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography
H Ernst, M Scherpf, H Malberg, M Schmidt
Biomedical Signal Processing and Control 68, 102644, 2021
Deepperfusion: Camera-based blood volume pulse extraction using a 3d convolutional neural network
M Scherpf, H Ernst, H Malberg, M Schmidt
2020 Computing in Cardiology, 1-4, 2020
Pulse arrival time-A sensitive vital parameter for the detection of mental stress
H Ernst, M Scherpf, H Malberg, M Schmidt
Current Directions in Biomedical Engineering 7 (2), 419-422, 2021
Topical negative pressure wound therapy enhances the local tissue perfusion–A pilot study
O Bota, J Martin, A Hammer, M Scherpf, K Matschke, A Dragu, H Malberg
Microvascular Research 140, 104301, 2022
Skin segmentation for imaging photoplethysmography using a specialized deep learning approach
M Scherpf, H Ernst, L Misera, H Malberg, M Schmidt
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
Camera-based assessment of cutaneous perfusion strength in a clinical setting
A Hammer, M Scherpf, M Schmidt, H Ernst, H Malberg, K Matschke, ...
Physiological Measurement 43 (2), 025007, 2022
Color spaces and regions of interest in camera based heart rate estimation
H Ernst, M Scherpf, H Malberg, M Schmidt
2020 11th Conference of the European Study Group on Cardiovascular …, 2020
Automatic classification of full-and reduced-lead electrocardiograms using morphological feature extraction
A Hammer, M Scherpf, H Ernst, J Weiß, D Schwensow, M Schmidt
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
Sepsis onset prediction applying a stacked combination of a recurrent neural network and a gradient boosted machine
M Scherpf, M Goldammer, H Malberg, F Gräßer
2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019
Assessment of the human response to acute mental stress–An overview and a multimodal study
H Ernst, M Scherpf, S Pannasch, JR Helmert, H Malberg, M Schmidt
Plos one 18 (11), e0294069, 2023
Needs-and user-oriented development of contactless camera-based telemonitoring in heart disease–Results of an acceptance survey from the Home-based Healthcare Project …
P Borchers, D Pfisterer, M Scherpf, K Voigt, A Bergmann
Plos one 18 (3), e0282527, 2023
Improved Pulse Pressure Estimation Based on Imaging Photoplethysmographic Signals
M Scherpf, H Malberg, M Schmidt
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
Patientenseitige Akzeptanz einer kontaktlosen Messtechnik zur Vitalparametererfassung innerhalb einer telemedizinischen Anwendung
P Borchers, K Voigt, D Pfisterer, M Scherpf, A Bergmann
Das Gesundheitswesen 83 (08/09), 677-678, 2021
Patient-side Acceptance of contactless Measurement Technology for Recording Vital Parameters within a telemedical Application
AP Borchers, K Voigt, D Pfisterer, M Scherpf, A Bergmann
GESUNDHEITSWESEN 83 (08/09), 677-678, 2021
Assessing Brain Dynamics for Predicting Postanoxic Coma Recovery: An EEG Based Approach
M Goettling, R Hohmuth, F Ehrlich, H Ernst, A Hammer, M Scherpf, ...
Automatic Classification of 2-, 3-, 4-, 6-, and 12-Lead Electocardiograms Using Morphological Feature Extraction
A Hammer, M Scherpf, H Ernst, J Weiß, D Schwensow, M Schmidt
The system can't perform the operation now. Try again later.
Articles 1–17