Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis

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  • Additional Information
    • Publication Information:
      Stefan cel Mare University of Suceava, 2019.
    • Publication Date:
      2019
    • Collection:
      LCC:Electrical engineering. Electronics. Nuclear engineering
      LCC:Computer engineering. Computer hardware
    • Abstract:
      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.
    • File Description:
      electronic resource
    • ISSN:
      1582-7445
      1844-7600
    • Relation:
      https://doaj.org/toc/1582-7445; https://doaj.org/toc/1844-7600
    • Accession Number:
      10.4316/AECE.2019.03005
    • Rights:
      Journal Licence: CC BY-NC-ND
    • Accession Number:
      edsdoj.fccf0374c4244df7a2151998489c4d91
  • Citations
    • ABNT:
      LING, S.-S.; PARAMESRAN, R.; YU, Y.-P. Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis. Advances in Electrical and Computer Engineering, [s. l.], n. 3, p. 41, 2019. Disponível em: . Acesso em: 20 out. 2019.
    • AMA:
      LING S-S, PARAMESRAN R, YU Y-P. Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis. Advances in Electrical and Computer Engineering. 2019;(3):41. doi:10.4316/AECE.2019.03005.
    • APA:
      LING, S.-S., PARAMESRAN, R., & YU, Y.-P. (2019). Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis. Advances in Electrical and Computer Engineering, (3), 41. https://doi.org/10.4316/AECE.2019.03005
    • Chicago/Turabian: Author-Date:
      LING, S.-S., R. PARAMESRAN, and Y.-P. YU. 2019. “Dynamic Heart Rate Measurements from Video Sequences Using Canonical Component Analysis.” Advances in Electrical and Computer Engineering, no. 3: 41. doi:10.4316/AECE.2019.03005.
    • Harvard:
      LING, S.-S., PARAMESRAN, R. and YU, Y.-P. (2019) ‘Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis’, Advances in Electrical and Computer Engineering, (3), p. 41. doi: 10.4316/AECE.2019.03005.
    • Harvard: Australian:
      LING, S-S, PARAMESRAN, R & YU, Y-P 2019, ‘Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis’, Advances in Electrical and Computer Engineering, no. 3, p. 41, viewed 20 October 2019, .
    • MLA:
      LING, S. S., et al. “Dynamic Heart Rate Measurements from Video Sequences Using Canonical Component Analysis.” Advances in Electrical and Computer Engineering, no. 3, 2019, p. 41. EBSCOhost, doi:10.4316/AECE.2019.03005.
    • Chicago/Turabian: Humanities:
      LING, S.-S., R. PARAMESRAN, and Y.-P. YU. “Dynamic Heart Rate Measurements from Video Sequences Using Canonical Component Analysis.” Advances in Electrical and Computer Engineering, no. 3 (2019): 41. doi:10.4316/AECE.2019.03005.
    • Vancouver/ICMJE:
      LING S-S, PARAMESRAN R, YU Y-P. Dynamic Heart Rate Measurements from Video Sequences using Canonical Component Analysis. Advances in Electrical and Computer Engineering [Internet]. 2019 [cited 2019 Oct 20];(3):41. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsdoj&AN=edsdoj.fccf0374c4244df7a2151998489c4d91&custid=s8280428