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Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study

In light of the state-of-the-art treatment options for patients with rheumatoid arthritis (RA), a detailed and early quantification and detection of impaired hand function is desirable to allow personalized treatment regiments and amend currently used subjective patient reported outcome measures. Th...

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Autores principales: Phutane, Uday, Liphardt, Anna-Maria, Bräunig, Johanna, Penner, Johann, Klebl, Michael, Tascilar, Koray, Vossiek, Martin, Kleyer, Arnd, Schett, Georg, Leyendecker, Sigrid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914794/
https://www.ncbi.nlm.nih.gov/pubmed/33572273
http://dx.doi.org/10.3390/s21041208
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author Phutane, Uday
Liphardt, Anna-Maria
Bräunig, Johanna
Penner, Johann
Klebl, Michael
Tascilar, Koray
Vossiek, Martin
Kleyer, Arnd
Schett, Georg
Leyendecker, Sigrid
author_facet Phutane, Uday
Liphardt, Anna-Maria
Bräunig, Johanna
Penner, Johann
Klebl, Michael
Tascilar, Koray
Vossiek, Martin
Kleyer, Arnd
Schett, Georg
Leyendecker, Sigrid
author_sort Phutane, Uday
collection PubMed
description In light of the state-of-the-art treatment options for patients with rheumatoid arthritis (RA), a detailed and early quantification and detection of impaired hand function is desirable to allow personalized treatment regiments and amend currently used subjective patient reported outcome measures. This is the motivation to apply and adapt modern measurement technologies to quantify, assess and analyze human hand movement using a marker-based optoelectronic measurement system (OMS), which has been widely used to measure human motion. We complement these recordings with data from markerless (Doppler radar) sensors and data from both sensor technologies are integrated with clinical outcomes of hand function. The technologies are leveraged to identify hand movement characteristics in RA affected patients in comparison to healthy control subjects, while performing functional tests, such as the Moberg-Picking-Up Test. The results presented discuss the experimental framework and present the limiting factors imposed by the use of marker-based measurements on hand function. The comparison of simple finger motion data, collected by the OMS, to data recorded by a simple continuous wave radar suggests that radar is a promising option for the objective assessment of hand function. Overall, the broad scope of integrating two measurement technologies with traditional clinical tests shows promising potential for developing new pathways in understanding of the role of functional outcomes for the RA pathology.
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spelling pubmed-79147942021-03-01 Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study Phutane, Uday Liphardt, Anna-Maria Bräunig, Johanna Penner, Johann Klebl, Michael Tascilar, Koray Vossiek, Martin Kleyer, Arnd Schett, Georg Leyendecker, Sigrid Sensors (Basel) Article In light of the state-of-the-art treatment options for patients with rheumatoid arthritis (RA), a detailed and early quantification and detection of impaired hand function is desirable to allow personalized treatment regiments and amend currently used subjective patient reported outcome measures. This is the motivation to apply and adapt modern measurement technologies to quantify, assess and analyze human hand movement using a marker-based optoelectronic measurement system (OMS), which has been widely used to measure human motion. We complement these recordings with data from markerless (Doppler radar) sensors and data from both sensor technologies are integrated with clinical outcomes of hand function. The technologies are leveraged to identify hand movement characteristics in RA affected patients in comparison to healthy control subjects, while performing functional tests, such as the Moberg-Picking-Up Test. The results presented discuss the experimental framework and present the limiting factors imposed by the use of marker-based measurements on hand function. The comparison of simple finger motion data, collected by the OMS, to data recorded by a simple continuous wave radar suggests that radar is a promising option for the objective assessment of hand function. Overall, the broad scope of integrating two measurement technologies with traditional clinical tests shows promising potential for developing new pathways in understanding of the role of functional outcomes for the RA pathology. MDPI 2021-02-09 /pmc/articles/PMC7914794/ /pubmed/33572273 http://dx.doi.org/10.3390/s21041208 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Phutane, Uday
Liphardt, Anna-Maria
Bräunig, Johanna
Penner, Johann
Klebl, Michael
Tascilar, Koray
Vossiek, Martin
Kleyer, Arnd
Schett, Georg
Leyendecker, Sigrid
Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title_full Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title_fullStr Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title_full_unstemmed Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title_short Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study
title_sort evaluation of optical and radar based motion capturing technologies for characterizing hand movement in rheumatoid arthritis—a pilot study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914794/
https://www.ncbi.nlm.nih.gov/pubmed/33572273
http://dx.doi.org/10.3390/s21041208
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