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A high performance biometric signal and image processing method to reveal blood perfusion towards 3D oxygen saturation mapping

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journal contribution
posted on 20.05.2016 by Ryan Imms, Sijung Hu, Vicente Azorin-Peris, Michael Trico, Ron Summers
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.

Funding

The authors would like to thank the financial support of Loughborough University and the RCLEDs supplier WelTek Co. Ltd., Taiwan.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES XII

Volume

8947

Pages

? - ? (11)

Citation

IMMS, R. ... et al., 2014. A high performance biometric signal and image processing method to reveal blood perfusion towards 3D oxygen saturation mapping. Proceedings of SPIE, 8947, DOI: 10.1117/12.2044318.

Publisher

© Society of Photo-Optical Instrumentation Engineers

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

© 2014 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

ISSN

0277-786X

eISSN

1996-756X

Language

en

Location

San Francisco, CA

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