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Motion artifacts reduction in cardiac pulse signal acquired from video imaging

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 6 (2020)

DOI
10.11591/ijece.v10i6.pp5687-5693
ISSN
2722-2578, 2088-8708
Published
2020-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.

Collaboration network of the authors

20 authors · 53 co-authorship links · 14 across different organisations

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  • Tun Hussein Onn University of Malaysia
  • Cihan University - Duhok
  • Knowledge University
  • Al-Furat Al-Awsat Technical University
  • Universiti Teknikal Malaysia Melaka
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rahmat TalibTun Hussein Onn University of Malaysia2
Bhagwan DasTun Hussein Onn University of Malaysia2
Nor Shahida Mohd ShahTun Hussein Onn University of Malaysia2
N. Mohd RidzuanTun Hussein Onn University of Malaysia1
Maisara Binti OthmanTun Hussein Onn University of Malaysia1
M. B. JaafarTun Hussein Onn University of Malaysia1
Abdullah Ali QasimTun Hussein Onn University of Malaysia1
Mohammed Najeh NemahAl-Furat Al-Awsat Technical University1
Ahmed Talaat HammoodiTun Hussein Onn University of Malaysia1
Noor Azwan ShairiUniversiti Teknikal Malaysia Melaka1
Che Ku Nor Azie Hailma Che Ku MelorTun Hussein Onn University of Malaysia1
Ariffuddin JoretTun Hussein Onn University of Malaysia1
Maryanti RazaliTun Hussein Onn University of Malaysia1
Muhammad Suhaimi SulongTun Hussein Onn University of Malaysia1
Elfarizanis BaharudinTun Hussein Onn University of Malaysia1
Nur Izzati ZulkefliTun Hussein Onn University of Malaysia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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