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Vincent Fleischhauer
Vincent Fleischhauer
Faculty of Information Technology, University of Applied Sciences and Arts Dortmund
在 fh-dortmund.de 的电子邮件经过验证
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Signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors
S Zaunseder, A Vehkaoja, V Fleischhauer, CH Antink
Biomedical Signal Processing and Control 74, 103538, 2022
242022
Pulse decomposition analysis in photoplethysmography imaging
V Fleischhauer, N Ruprecht, M Sorelli, L Bocchi, S Zaunseder
Physiological Measurement 41 (9), 095009, 2020
202020
Beat-to-beat blood pressure estimation by photoplethysmography and its interpretation
V Fleischhauer, A Feldheiser, S Zaunseder
Sensors 22 (18), 7037, 2022
162022
Adaptive Gaussian mixture model driven level set segmentation for remote pulse rate detection
A Woyczyk, V Fleischhauer, S Zaunseder
IEEE journal of biomedical and health informatics 25 (5), 1361-1372, 2021
162021
Skin segmentation using active contours and gaussian mixture models for heart rate detection in videos
A Woyczyk, V Fleischhauer, S Zaunseder
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
52020
Photoplethysmography upon cold stress—impact of measurement site and acquisition mode
V Fleischhauer, J Bruhn, S Rasche, S Zaunseder
Frontiers in Physiology 14, 1127624, 2023
42023
Camera-based spatial assessment of perfusion upon stimuli
V Fleischhauer, N Ruprecht, S Zaunseder
Current Directions in Biomedical Engineering 5 (1), 105-108, 2019
42019
Validation of skin perfusion monitoring by imaging PPG versus laser speckle imaging
V Fleischhauer, J Adrians, S Zaunseder
Current Directions in Biomedical Engineering 9 (1), 351-354, 2023
12023
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