Literature DB >> 23744659

Robust pulse rate from chrominance-based rPPG.

Gerard de Haan, Vincent Jeanne.   

Abstract

Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge. For a population of 117 stationary subjects, we show our methods to perform in 92% good agreement ( ±1.96σ) with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS-based methods. In a fitness setting using a simple spectral peak detector, the obtained pulse-rate for modest motion (bike) improves from 79% to 98% correct, and for vigorous motion (stepping) from less than 11% to more than 48% correct. We expect the greatly improved robustness to considerably widen the application scope of the technology.

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Mesh:

Year:  2013        PMID: 23744659     DOI: 10.1109/TBME.2013.2266196

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  63 in total

1.  Robust respiration detection from remote photoplethysmography.

Authors:  Mark van Gastel; Sander Stuijk; Gerard de Haan
Journal:  Biomed Opt Express       Date:  2016-11-03       Impact factor: 3.732

2.  Motion robust remote photoplethysmography in CIELab color space.

Authors:  Yuting Yang; Chenbin Liu; Hui Yu; Dangdang Shao; Francis Tsow; Nongjian Tao
Journal:  J Biomed Opt       Date:  2016-11-01       Impact factor: 3.170

3.  Full video pulse extraction.

Authors:  Wenjin Wang; Albertus C den Brinker; Gerard de Haan
Journal:  Biomed Opt Express       Date:  2018-07-27       Impact factor: 3.732

4.  Amplitude-selective filtering for remote-PPG.

Authors:  Wenjin Wang; Albertus C den Brinker; Sander Stuijk; Gerard de Haan
Journal:  Biomed Opt Express       Date:  2017-02-28       Impact factor: 3.732

5.  Analysis of CNN-based remote-PPG to understand limitations and sensitivities.

Authors:  Qi Zhan; Wenjin Wang; Gerard de Haan
Journal:  Biomed Opt Express       Date:  2020-02-07       Impact factor: 3.732

Review 6.  Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging.

Authors:  Yu Sun; Nitish Thakor
Journal:  IEEE Trans Biomed Eng       Date:  2015-09-15       Impact factor: 4.538

7.  Novel health monitoring method using an RGB camera.

Authors:  M A Hassan; A S Malik; D Fofi; N Saad; F Meriaudeau
Journal:  Biomed Opt Express       Date:  2017-10-04       Impact factor: 3.732

8.  Bounded Kalman filter method for motion-robust, non-contact heart rate estimation.

Authors:  Sakthi Kumar Arul Prakash; Conrad S Tucker
Journal:  Biomed Opt Express       Date:  2018-01-29       Impact factor: 3.732

9.  Simultaneous Tracking of Cardiorespiratory Signals for Multiple Persons Using a Machine Vision System With Noise Artifact Removal.

Authors:  Ali Al-Naji; Javaan Chahl
Journal:  IEEE J Transl Eng Health Med       Date:  2017-09-29       Impact factor: 3.316

10.  Simultaneous Monitoring of Ballistocardiogram and Photoplethysmogram Using a Camera.

Authors:  Dangdang Shao; Francis Tsow; Chenbin Liu; Yuting Yang; Nongjian Tao
Journal:  IEEE Trans Biomed Eng       Date:  2016-06-29       Impact factor: 4.538

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