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Title: Opto-physiological modeling applied to photoplethysmographic cardiovascular assessment
Authors: Hu, Sijung
Azorin-Peris, Vicente
Zheng, Jia
Keywords: Opto-physiological modeling
Pulse oximetry
Imaging photoplethysmography (iPPG)
Region of interest (ROI)
Signal and image processing
Cardiovascular assessment
Issue Date: 2013
Publisher: © Hindawi
Citation: HU, S., AZORIN-PERIS, V. and ZHENG, J., 2013. Opto-physiological modeling applied to photoplethysmographic cardiovascular assessment. Journal of Healthcare Engineering, 4 (4), pp.505-528.
Abstract: This paper presents opto-physiological (OP) modeling and its application in cardiovascular assessment techniques based on photoplethysmography (PPG). Existing contact point measurement techniques, i.e., pulse oximetry probes, are compared with the next generation noncontact and imaging implementations, i.e., non-contact reflection and camera-based PPG. The further development of effective physiological monitoring techniques relies on novel approaches to OP modeling that can better inform the design and development of sensing hardware and applicable signal processing procedures. With the help of finite-element optical simulation, fundamental research into OP modeling of photoplethysmography is being exploited towards the development of engineering solutions for practical biomedical systems. This paper reviews a body of research comprising two OP models that have led to significant progress in the design of transmission mode pulse oximetry probes, and approaches to 3D blood perfusion mapping for the interpretation of cardiovascular performance.
Sponsor: The authors also acknowledge the financial support of both the Engineering and Physical Sciences Research Council UK (Optical Platform Grant GR/T25040/01, 2007) and Loughborough University.
Version: Published
DOI: 10.1260/2040-2295.4.4.505
URI: https://dspace.lboro.ac.uk/2134/21290
Publisher Link: http://dx.doi.org/10.1260/2040-2295.4.4.505
ISSN: 2040-2295
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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