Share Email Print

Proceedings Paper

A high performance biometric signal and image processing method to reveal blood perfusion towards 3D oxygen saturation mapping
Author(s): Ryan Imms; Sijung Hu; Vicente Azorin-Peris; Michaël Trico; Ron Summers
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Non-contact imaging photoplethysmography (PPG) is a recent development in the field of physiological data acquisition, currently undergoing a large amount of research to characterize and define the range of its capabilities. Contact-based PPG techniques have been broadly used in clinical scenarios for a number of years to obtain direct information about the degree of oxygen saturation for patients. With the advent of imaging techniques, there is strong potential to enable access to additional information such as multi-dimensional blood perfusion and saturation mapping. The further development of effective opto-physiological monitoring techniques is dependent upon novel modelling techniques coupled with improved sensor design and effective signal processing methodologies. The biometric signal and imaging processing platform (bSIPP) provides a comprehensive set of features for extraction and analysis of recorded iPPG data, enabling direct comparison with other biomedical diagnostic tools such as ECG and EEG. Additionally, utilizing information about the nature of tissue structure has enabled the generation of an engineering model describing the behaviour of light during its travel through the biological tissue. This enables the estimation of the relative oxygen saturation and blood perfusion in different layers of the tissue to be calculated, which has the potential to be a useful diagnostic tool.

Paper Details

Date Published: 4 March 2014
PDF: 11 pages
Proc. SPIE 8947, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII, 89470X (4 March 2014); doi: 10.1117/12.2044318
Show Author Affiliations
Ryan Imms, Loughborough Univ. (United Kingdom)
Sijung Hu, Loughborough Univ. (United Kingdom)
Vicente Azorin-Peris, Loughborough Univ. (United Kingdom)
Michaël Trico, Polytech Paris-Sud (France)
Ron Summers, Loughborough Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 8947:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

© SPIE. Terms of Use
Back to Top