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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.

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Paper citation in several formats:
Calvo-Gallego, E. and de Haan, G. (2015). Automatic ROI for Remote Photoplethysmography using PPG and Color Features. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 357-364. DOI: 10.5220/0005259003570364

@conference{visapp15,
author={Elisa Calvo{-}Gallego. and Gerard {de Haan}.},
title={Automatic ROI for Remote Photoplethysmography using PPG and Color Features},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={357-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005259003570364},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Automatic ROI for Remote Photoplethysmography using PPG and Color Features
SN - 978-989-758-089-5
IS - 2184-4321
AU - Calvo-Gallego, E.
AU - de Haan, G.
PY - 2015
SP - 357
EP - 364
DO - 10.5220/0005259003570364
PB - SciTePress