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Skin Detection and Tracking for Camera-Based Photoplethysmography Using a Bayesian Classifier and Level Set Segmentation

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Contributors

Alexander Trumpp - , Institute of Biomedical Engineering, Chair of Biomedical Engineering (Author)
Stefan Rasche - , Centre for Surgery (Author)
Daniel Wedekind - , Chair of Biomedical Engineering, Institute of Biomedical Engineering (Author)
Martin Schmidt - , Chair of Biomedical Engineering (Author)
Thomas Waldow - (Author)
Frederik Gaetjen - , Department for Cardiosurgery (at Herzzentrum Dresden) (Author)
Katrin Plötze - , Department of internal Medicine with focus on Cardiology (at Herzzentrum Dresden) (Author)
Hagen Malberg - , Chair of Biomedical Engineering (Author)
Klaus Matschke - , Department of internal Medicine with focus on Cardiology (at Herzzentrum Dresden) (Author)
Sebastian Zaunseder - , Chair of Biomedical Engineering (Author)

Details

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2017
Pages	43–48
Number of pages	6
Publication status	Published - 2017
Peer-reviewed	Yes

External IDs

Scopus	85019915664
ORCID	/0000-0003-4012-0608/work/142235705

Keywords

Keywords

Camera-Based Photoplethysmography