Variable step size least mean square optimization for motion artifact reduction: A review

Many algorithms have been developed to reduce the motion artifact effect on Photoplethysmograph (PPG) technology and to increase the accuracy of the health monitoring device reading. It is found that existing solutions are still lacking in getting high accuracy of heart rate reading. Therefore, we p...

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Main Authors: Zailan, K.A.M., Hasan, M.H., Witjaksono, G.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23514 /
Published: Springer Verlag 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065906197&doi=10.1007%2f978-3-030-19810-7_18&partnerID=40&md5=ed1be5a986ad98c01bb92d47b1190e35
http://eprints.utp.edu.my/23514/
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spelling utp-eprints.235142021-08-19T07:58:04Z Variable step size least mean square optimization for motion artifact reduction: A review Zailan, K.A.M. Hasan, M.H. Witjaksono, G. Many algorithms have been developed to reduce the motion artifact effect on Photoplethysmograph (PPG) technology and to increase the accuracy of the health monitoring device reading. It is found that existing solutions are still lacking in getting high accuracy of heart rate reading. Therefore, we propose a research to formulate an improved motion artifact reduction approach using variable step-size least mean square (VSSLMS). The objective of this paper is to review VSSLMS for motion artifact reduction. A total of eight manuscripts, collected from ISI, Scopus and Google Scholar indexing databases, were critically reviewed. The review revealed that VSSLMS is better than LMS in reducing the motion artifact in slow motion and high-speed motion. For future work, the VSSLMS results will be formulated with regression machine learning. © Springer Nature Switzerland AG 2019. Springer Verlag 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065906197&doi=10.1007%2f978-3-030-19810-7_18&partnerID=40&md5=ed1be5a986ad98c01bb92d47b1190e35 Zailan, K.A.M. and Hasan, M.H. and Witjaksono, G. (2019) Variable step size least mean square optimization for motion artifact reduction: A review. Advances in Intelligent Systems and Computing, 985 . pp. 182-190. http://eprints.utp.edu.my/23514/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Many algorithms have been developed to reduce the motion artifact effect on Photoplethysmograph (PPG) technology and to increase the accuracy of the health monitoring device reading. It is found that existing solutions are still lacking in getting high accuracy of heart rate reading. Therefore, we propose a research to formulate an improved motion artifact reduction approach using variable step-size least mean square (VSSLMS). The objective of this paper is to review VSSLMS for motion artifact reduction. A total of eight manuscripts, collected from ISI, Scopus and Google Scholar indexing databases, were critically reviewed. The review revealed that VSSLMS is better than LMS in reducing the motion artifact in slow motion and high-speed motion. For future work, the VSSLMS results will be formulated with regression machine learning. © Springer Nature Switzerland AG 2019.
format Article
author Zailan, K.A.M.
Hasan, M.H.
Witjaksono, G.
spellingShingle Zailan, K.A.M.
Hasan, M.H.
Witjaksono, G.
Variable step size least mean square optimization for motion artifact reduction: A review
author_sort Zailan, K.A.M.
title Variable step size least mean square optimization for motion artifact reduction: A review
title_short Variable step size least mean square optimization for motion artifact reduction: A review
title_full Variable step size least mean square optimization for motion artifact reduction: A review
title_fullStr Variable step size least mean square optimization for motion artifact reduction: A review
title_full_unstemmed Variable step size least mean square optimization for motion artifact reduction: A review
title_sort variable step size least mean square optimization for motion artifact reduction: a review
publisher Springer Verlag
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065906197&doi=10.1007%2f978-3-030-19810-7_18&partnerID=40&md5=ed1be5a986ad98c01bb92d47b1190e35
http://eprints.utp.edu.my/23514/
_version_ 1741196687587672064
score 11.62408

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