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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2019 - 5

Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis

LING, S.-S. See more information about LING, S.-S. on SCOPUS See more information about LING, S.-S. on IEEExplore See more information about LING, S.-S. on Web of Science, PARAMESRAN, R. See more information about  PARAMESRAN, R. on SCOPUS See more information about  PARAMESRAN, R. on SCOPUS See more information about PARAMESRAN, R. on Web of Science, YU, Y.-P. See more information about YU, Y.-P. on SCOPUS See more information about YU, Y.-P. on SCOPUS See more information about YU, Y.-P. on Web of Science
 
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Download PDF pdficon (558 KB) | Citation | Downloads: 743 | Views: 1,587

Author keywords
video signal processing, image processing, image analysis, independent component analysis, blind source separation

References keywords
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

Abstract
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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

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[CrossRef] [SCOPUS Times Cited 30]


[2] Yu, Y. P. (2016). Dynamic heart rate estimation using facial images from video sequences/Yu Yong Poh (Doctoral dissertation, University of Malaya).

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References Weight

Web of Science® Citations for all references: 16,242 TCR
SCOPUS® Citations for all references: 9,917 TCR

Web of Science® Average Citations per reference: 773 ACR
SCOPUS® Average Citations per reference: 472 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 2023-09-23 02:40 in 100 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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