Literature DB >> 24287429

Opto-physiological modeling applied to photoplethysmographic cardiovascular assessment.

Sijung Hu1, Vicente Azorin-Peris, Jia Zheng.   

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 non-contact 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.

Keywords:  cardiovascular assessment; imaging photoplethysmography (iPPG); opto-physiological modeling; pulse oximetry; region of interest (ROI); signal and image processing

Mesh:

Year:  2013        PMID: 24287429     DOI: 10.1260/2040-2295.4.4.505

Source DB:  PubMed          Journal:  J Healthc Eng        ISSN: 2040-2295            Impact factor:   2.682


  7 in total

1.  DistancePPG: Robust non-contact vital signs monitoring using a camera.

Authors:  Mayank Kumar; Ashok Veeraraghavan; Ashutosh Sabharwal
Journal:  Biomed Opt Express       Date:  2015-04-06       Impact factor: 3.732

2.  Assessing blood vessel perfusion and vital signs through retinal imaging photoplethysmography.

Authors:  Harnani Hassan; Sheila Jaidka; Vincent M Dwyer; Sijung Hu
Journal:  Biomed Opt Express       Date:  2018-04-26       Impact factor: 3.732

3.  A Study of the Dynamic Relation between Physiological Changes and Spontaneous Expressions.

Authors:  Fenglei Yang; Sijung Hu; Baomin Li; Vincent M Dwyer; Harnani Hassan; Dong-Qing Wei; Ping Shi
Journal:  Sci Rep       Date:  2017-08-01       Impact factor: 4.379

4.  A Comparative Study of Physiological Monitoring with a Wearable Opto-Electronic Patch Sensor (OEPS) for Motion Reduction.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris
Journal:  Biosensors (Basel)       Date:  2015-06-08

5.  A multi-channel opto-electronic sensor to accurately monitor heart rate against motion artefact during exercise.

Authors:  Abdullah Alzahrani; Sijung Hu; Vicente Azorin-Peris; Laura Barrett; Dale Esliger; Matthew Hayes; Shafique Akbare; Jérôme Achart; Sylvain Kuoch
Journal:  Sensors (Basel)       Date:  2015-10-12       Impact factor: 3.576

6.  A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy.

Authors:  Yongxin Chou; Ruilei Zhang; Yufeng Feng; Mingli Lu; Zhenli Lu; Benlian Xu
Journal:  J Healthc Eng       Date:  2017-05-09       Impact factor: 2.682

7.  Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios.

Authors:  Zhiwei Wang; Xin Yang; Kwang-Ting Cheng
Journal:  PLoS One       Date:  2018-05-11       Impact factor: 3.240

  7 in total

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