Martin Schmidt
Dresden University of Technology
38 Papers
52 Citations
Martin Schmidt is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 8, co-authored 26 publications.
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Papers
Camera-based photoplethysmography in an intraoperative setting.
Alexander Trumpp,Johannes Lohr,Daniel Wedekind,Martin Schmidt,M. Burghardt,Axel R. Heller,Hagen Malberg,Sebastian Zaunseder +7 more
TL;DR: The proposed method proved that cbPPG is applicable in intraoperative environments and can be easily transferred to other settings regardless of which body site is considered.
Effects of ECG sampling rate on QT interval variability measurement
TL;DR: ECG sampling rate requirements for reliable QT interval variability measurement are established and ECG sampling rates of 500 Hz yields a reliable QTV measurement, while samples of 200 Hz and below should be avoided.
22
Optimal color channel combination across skin tones for remote heart rate measurement in camera-based photoplethysmography
TL;DR: This work has identified the skin tone independent optimal linear RGB color combination for measuring heart rate with cbPPG and proved on a large dataset that the identified optimum outperformed conventionally used color channels.
21
Entropy Analysis of RR and QT Interval Variability during Orthostatic and Mental Stress in Healthy Subjects
Mathias Baumert,Barbora Czippelova,Anand N. Ganesan,Martin Schmidt,Sebastian Zaunseder,Michal Javorka +5 more
TL;DR: In conclusion, measures of entropy are suitable to detect changes in neural outflow to the heart and decoupling of repolarisation variability from heart rate variability elicited by orthostatic or mental arithmetic stress.
T Wave Amplitude Correction of QT Interval Variability for Improved Repolarization Lability Measurement.
TL;DR: Using this correction, predictive value of QTV for all-cause mortality in patients with non-ischemic cardiomyopathy has been demonstrated and a simple correction formula is proposed for improved QTV assessment.