|3/2019 - 5|
Dynamic Heart Rate Measurements from Video Sequences using Canonical Component AnalysisLING, S.-S. , PARAMESRAN, R. , YU, Y.-P.
|View the paper record and citations in|
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (558 KB) | Citation | Downloads: 390 | Views: 984|
video signal processing, image processing, image analysis, independent component analysis, blind source separation
rate(7), heart(7), biomedical(7), optics(6), video(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2019-08-31
Volume 19, Issue 3, Year 2019, On page(s): 41 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.03005
Web of Science Accession Number: 000486574100005
SCOPUS ID: 85072202782
Dynamic heart rate computation from facial images obtained from video sequences has random artifacts and noises. A novel method is formulated by assuming that two video durations will contain the heart rate signals that are strongly correlated to each other while the random artifacts and noises are not correlated to each other. Canonical Component Analysis (CCA) is used to recover the heart-rate signals by determining the maximum correlation of the two video durations. The identified heart signal is then passed to a bandpass filter (0.8 - 4Hz) followed by Fast Fourier Transform to obtain the heart rate. Two experiments related to increasing and decreasing heart rate variations are carried out to determine the effectiveness of the proposed method. Eight subjects participated in each experiment, where their facial images were captured for a minute while they were cycling. Their heart rates varied from 83 to 153 beats per minute (BPM). The results of the proposed method are compared to a method using independent component analysis (ICA). The root mean square errors (RMSE) for the proposed method and ICA based-method that used 5-second video duration for the first and second experiments are 3.70 BPM and 2.33 BPM and 14.36 BPM and 9.72 BPM, respectively.
|References|||||Cited By «-- Click to see who has cited this paper|
| D. Teichmann, C. Bruser, B. Eilebrecht, A. Abbas, N. Blanik, & S. Leonhardt, "Non-contact monitoring techniques - Principles and applications," In Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, IEEE, pp. 1302-1305, 2012. |
[CrossRef] [SCOPUS Times Cited 26]
 Yu, Y. P. (2016). Dynamic heart rate estimation using facial images from video sequences/Yu Yong Poh (Doctoral dissertation, University of Malaya).
 A. B. Hertzman, "The blood supply of various skin areas as estimated by the photoelectric plethysmograph," American Journal of Physiology, vol.124, no.2, pp. 328-340, 1938.
 J. Weinman, A. Hayat, and G. Raviv, "Reflection photoplethysmography of arterial-blood-volume pulses," Medical and Biological Engineering and Computing, vol.15, no.1, pp. 22-31, 1977.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 47]
 J. Allen, "Photoplethysmography and its application in clinical physiological measurement," Physiological measurement, vol.28, no.3, R1,2007
[CrossRef] [Web of Science Times Cited 1589] [SCOPUS Times Cited 2060]
 W. Verkruysse, L. O. Svaasand, and J. S. Nelson, "Remote plethysmographic imaging using ambient light," Opt. Express, vol. 16, no. 26, pp. 21434-21445, 2008.
[CrossRef] [Web of Science Times Cited 628] [SCOPUS Times Cited 789]
 M. Z. Poh, D. J. McDuff, and R. W. Picard, "Non-contact, automated cardiac pulse measurements using video imaging and blind source separation," Optics Express, vol.18, no.10, pp.10762-10774 ,2010.
[CrossRef] [Web of Science Times Cited 680] [SCOPUS Times Cited 860]
 A. A. Kamshilin, S. Miridonov, V. Teplov, R. Saarenheimo, & E. Nippolainen, "Photoplethysmographic imaging of high spatial resolution," Biomedical Optics Express, vol.2, no.4, pp. 996-1006, 2011.
[CrossRef] [Web of Science Times Cited 86] [SCOPUS Times Cited 105]
 M. Z. Poh, D. J. McDuff, and R. W. Picard, "Advancements in noncontact, multiparameter physiological measurements using a webcam," IEEE Transactions on Biomedical Engineering, vol.58, no.1, pp. 7-11, 2011.
[CrossRef] [Web of Science Times Cited 619] [SCOPUS Times Cited 817]
 T. Pursche, J. Krajewski, and R. Moeller, "Video-based heart rate measurement from human faces," in Proceedings of IEEE International Conference on Consumer Electronics, IEEE, pp. 544-545, 2012.
[CrossRef] [SCOPUS Times Cited 59]
 S. Xu, L. Sun, and G. K. Rohde, "Robust efficient estimation of heart rate pulse from video," Biomedical optics express, vol.5, no.4, pp.1124-1135, 2014.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 54]
 M. Kumar, A. Veeraraghavan, A. Sabharwal, "DistancePPG: Robust non-contact vital signs monitoring using a camera," Biomedical Optics Express, Vol.6, pp.1565-1588,2015.
[CrossRef] [Web of Science Times Cited 173] [SCOPUS Times Cited 222]
 D. R. Hardoon, S. Szedmak, J. Shawe-Taylor, "Canonical correlation analysis: An overview with application to learning methods," Neural computation, vol. 16, no.12, pp. 2639-2664, 2004.
[CrossRef] [Web of Science Times Cited 1566] [SCOPUS Times Cited 1903]
 M. P. Tarvainen, P. O. Ranta-aho, and P. A. Karjalainen, "An advanced detrending method with application to HRV analysis," IEEE Transactions on Biomedical Engineering, vol. 49, no.2, pp. 172-175,2002.
[CrossRef] [Web of Science Times Cited 647] [SCOPUS Times Cited 738]
 M. Borga, H. Knutsson, "A Canonical Correlation Approach to Blind Source Separation," Linkoping University, Linkoping, Sweden, Technical Report LiU-IMT-EX-0062, 2001.
 P. Viola, and M. Jones, "Rapid object detection using a boosted cascade of simple features," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001, IEEE, pp. I-511, 2001.
[CrossRef] [Web of Science Times Cited 6802]
 M. Schonfelder, G. Hinterseher, P. Peter, & P. Spitzenpfeil, "Scientific comparison of different online heart rate monitoring systems." International Journal of Telemedicine and Applications, vol.2011, 6, 2011.
[CrossRef] [SCOPUS Times Cited 27]
 M. B. Wallen, D. Hasson, T. Theorell, B. Canlon, & W. Osika, "Possibilities and limitations of the polar RS800 in measuring heart rate variability at rest," European Journal of Applied Physiology, vol.112, no.3, pp.1153-1165, 2012.
[CrossRef] [Web of Science Times Cited 85] [SCOPUS Times Cited 92]
 Y. P. Yu, P. Raveendran, C. L. Lim. "Dynamic heart rate measurements from video sequences." Biomedical Optics Express, 6(7), pp.2466-2480, 2015.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 17]
 Y. P. Yu, P. Raveendran, C. L. Lim, B. H. Kwan, "Dynamic heart rate estimation using principal component analysis." Biomedical Optics Express, 6(11), pp.4610-4618, 2015.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 11]
Web of Science® Citations for all references: 12,994 TCR
SCOPUS® Citations for all references: 7,827 TCR
Web of Science® Average Citations per reference: 619 ACR
SCOPUS® Average Citations per reference: 373 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2021-10-14 07:32 in 111 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.