Literature DB >> 24835124

Improvements in remote cardiopulmonary measurement using a five band digital camera.

Daniel McDuff, Sarah Gontarek, Rosalind W Picard.   

Abstract

Remote measurement of the blood volume pulse via photoplethysmography (PPG) using digital cameras and ambient light has great potential for healthcare and affective computing. However, traditional RGB cameras have limited frequency resolution. We present results of PPG measurements from a novel five band camera and show that alternate frequency bands, in particular an orange band, allowed physiological measurements much more highly correlated with an FDA approved contact PPG sensor. In a study with participants (n = 10) at rest and under stress, correlations of over 0.92 (p 0.01) were obtained for heart rate, breathing rate, and heart rate variability measurements. In addition, the remotely measured heart rate variability spectrograms closely matched those from the contact approach. The best results were obtained using a combination of cyan, green, and orange (CGO) bands; incorporating red and blue channel observations did not improve performance. In short, RGB is not optimal for this problem: CGO is better. Incorporating alternative color channel sensors should not increase the cost of such cameras dramatically.

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Year:  2014        PMID: 24835124     DOI: 10.1109/TBME.2014.2323695

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


  22 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.  Spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging.

Authors:  Robert Amelard; David A Clausi; Alexander Wong
Journal:  Biomed Opt Express       Date:  2016-11-01       Impact factor: 3.732

3.  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

Review 4.  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

5.  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

6.  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

7.  Evaluating Visual Photoplethysmography Method.

Authors:  Debjyoti Talukdar; Luis Felipe de Deus; Nikhil Sehgal
Journal:  Cureus       Date:  2022-07-14

8.  Introducing Contactless Blood Pressure Assessment Using a High Speed Video Camera.

Authors:  In Cheol Jeong; Joseph Finkelstein
Journal:  J Med Syst       Date:  2016-01-20       Impact factor: 4.460

9.  Camera-Based, Non-Contact, Vital-Signs Monitoring Technology May Provide a Way for the Early Prevention of SIDS in Infants.

Authors:  Fang Zhao; Meng Li; Zhongyi Jiang; Joe Z Tsien; Zhaohui Lu
Journal:  Front Neurol       Date:  2016-12-23       Impact factor: 4.003

10.  Initial evaluation of prospective cardiac triggering using photoplethysmography signals recorded with a video camera compared to pulse oximetry and electrocardiography at 7T MRI.

Authors:  Nicolai Spicher; Markus Kukuk; Stefan Maderwald; Mark E Ladd
Journal:  Biomed Eng Online       Date:  2016-11-24       Impact factor: 2.819

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