NDLI: Detection and analysis of temperature-sensitive dermal blood perfusion dynamics and distribution by a hybrid camera system

Content Provider	IEEE Xplore Digital Library
Author	Blanik, N. Paul, M. Blazek, V. Leonhardt, S.
Copyright Year	2015
Description	Author affiliation: Helmholtz-Inst. for Biomed. Eng., RWTH Aachen Univ., Aachen, Germany (Blanik, N.; Paul, M.; Blazek, V.; Leonhardt, S.)
Abstract	In this paper we present an application of two optical imaging modalities for non-invasive assessment of dermal perfusion. This hybrid setup consists of a photo-plethysmographic camera sensing in the visible spectrum and a thermal camera sensing in the infrared-C-band. This allows to combine the information of both sources complementarily: The extracted perfusion index as well as the skin surface temperature. The feasibility of the presented system is tested in two studies with local temperature stress on the forehead of a subject. In the first, a local cooling on the subject's forehead is monitored and further analyzed. In the second, skin perfusion reactions to heat are considered. For both experiments the results are compared to baseline measurements and non-affected areas in the field of view of the cameras. As results, the dependencies between temperature and perfusion change are presented. Further, influences of the stressor can be visualized in functional mappings of calculated perfusion indices. For the performed test, a linear correlation between temperature and perfusion change is obtained.
Starting Page	2383
Ending Page	2386
File Size	986088
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318873
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Temperature measurement Skin Heating Temperature sensors Forehead
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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