Authors:
Elisa Calvo-Gallego
1
and
Gerard de Haan
2
Affiliations:
1
CSIC-University of Seville, Spain
;
2
Eindhoven University of Technology, Netherlands
Keyword(s):
Biomedical Monitoring, Photoplethysmography (PPG), Image Analysis, Skin Detection, Fuzzy Logic.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Medical Image Applications
;
Segmentation and Grouping
Abstract:
Remote photoplethysmography (rPPG) enables contact-less monitoring of the blood volume pulse using a regular camera, thus providing valuable information about the cardiovascular system. However, the quality of the acquired rPPG signal is strongly affected by the region of skin where the analysis is carried out and, therefore, to be confident of obtaining valid information, a pre-selection of the region-of-interest (ROI) for the PPG analysis is necessary. In this paper, we propose a method for the automatic extraction of this ROI combining the local characteristics of the PPG-signal with the color information using fuzzy logic. Results of the quality of the ROI extraction and its application on pulse rate detection are provided.