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A non-invasive subtle pulse rate extraction method based on Eulerian video magnification

A non-invasive subtle pulse rate extraction method based on Eulerian video magnification
A non-invasive subtle pulse rate extraction method based on Eulerian video magnification
Measuring pulse rate by means of video recording of the wrist area is a non-invasive approach. Eulerian Video Linear Magnification (EVLM) is used in this paper to magnify, and make visible, subtle pulse-induced wrist motions. A series of experiments are conducted to investigate the performance of ELVM under various conditions, such as light intensity, background colour and a set of video recording parameters. The results show that a light intensity of around 224 to 229 lx is optimal; excess or inadequate light significantly impairs the success of amplifying the skin movement resulting from the pulse. It is demonstrated that a white background colour enables both the radial and ulnar areas to be clearly visible in the recorded video, thus improving pulse measurement. In addition, it is shown that a female’s pulse strength is approximately 40% weaker than that of a male averaged over the participants.
461-471
Springer, Cham
Yang, Wei
bc603ec9-d646-46ae-ab12-a1aed3aea245
Gracheva, Nadezhda
022b776f-a914-41ac-aade-65cc9579cd6a
Tudor, John
46eea408-2246-4aa0-8b44-86169ed601ff
Ju, Z.
Yang, L.
Yang, C.
Gegov, A.
Zhou, D.
Yang, Wei
bc603ec9-d646-46ae-ab12-a1aed3aea245
Gracheva, Nadezhda
022b776f-a914-41ac-aade-65cc9579cd6a
Tudor, John
46eea408-2246-4aa0-8b44-86169ed601ff
Ju, Z.
Yang, L.
Yang, C.
Gegov, A.
Zhou, D.

Yang, Wei, Gracheva, Nadezhda and Tudor, John (2019) A non-invasive subtle pulse rate extraction method based on Eulerian video magnification. Ju, Z., Yang, L., Yang, C., Gegov, A. and Zhou, D. (eds.) In Advances in Computational Intelligence Systems. UKCI 2019. vol. 1043, Springer, Cham. pp. 461-471 . (doi:10.1007/978-3-030-29933-0_38).

Record type: Conference or Workshop Item (Paper)

Abstract

Measuring pulse rate by means of video recording of the wrist area is a non-invasive approach. Eulerian Video Linear Magnification (EVLM) is used in this paper to magnify, and make visible, subtle pulse-induced wrist motions. A series of experiments are conducted to investigate the performance of ELVM under various conditions, such as light intensity, background colour and a set of video recording parameters. The results show that a light intensity of around 224 to 229 lx is optimal; excess or inadequate light significantly impairs the success of amplifying the skin movement resulting from the pulse. It is demonstrated that a white background colour enables both the radial and ulnar areas to be clearly visible in the recorded video, thus improving pulse measurement. In addition, it is shown that a female’s pulse strength is approximately 40% weaker than that of a male averaged over the participants.

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A Non-invasive Subtle Pulse Rate Extraction Method Based on Eulerian Video Magnification - Accepted Manuscript
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Accepted/In Press date: 30 June 2019
e-pub ahead of print date: 30 August 2019
Published date: 2019
Venue - Dates: UK Workshop on Computational Intelligence, 2019-09-05 - 2019-09-06

Identifiers

Local EPrints ID: 435347
URI: http://eprints.soton.ac.uk/id/eprint/435347
PURE UUID: d2ffcaae-c545-41b0-84e3-5b444694de0b
ORCID for John Tudor: ORCID iD orcid.org/0000-0003-1179-9455

Catalogue record

Date deposited: 31 Oct 2019 17:30
Last modified: 28 Apr 2022 05:29

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Contributors

Author: Wei Yang
Author: Nadezhda Gracheva
Author: John Tudor ORCID iD
Editor: Z. Ju
Editor: L. Yang
Editor: C. Yang
Editor: A. Gegov
Editor: D. Zhou

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