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Article

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

1
Chair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany
2
Department of Internal Medicine 3—Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany
3
Institute of Microwaves and Photonics, FAU, 91058 Erlangen, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Cristina P. Santos
Sensors 2021, 21(4), 1208; https://doi.org/10.3390/s21041208
Received: 19 December 2020 / Revised: 20 January 2021 / Accepted: 2 February 2021 / Published: 9 February 2021
(This article belongs to the Special Issue Smart Sensors: Applications and Advances in Human Motion Analysis)
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. View Full-Text
Keywords: arthritis; hand movement; hand function; optical measurement system; markerless motion capture; Doppler radar; Moberg-Picking-Up Test arthritis; hand movement; hand function; optical measurement system; markerless motion capture; Doppler radar; Moberg-Picking-Up Test
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MDPI and ACS Style

Phutane, U.; Liphardt, A.-M.; Bräunig, J.; Penner, J.; Klebl, M.; Tascilar, K.; Vossiek, M.; Kleyer, A.; Schett, G.; Leyendecker, S. Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study. Sensors 2021, 21, 1208. https://doi.org/10.3390/s21041208

AMA Style

Phutane U, Liphardt A-M, Bräunig J, Penner J, Klebl M, Tascilar K, Vossiek M, Kleyer A, Schett G, Leyendecker S. Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study. Sensors. 2021; 21(4):1208. https://doi.org/10.3390/s21041208

Chicago/Turabian Style

Phutane, Uday, Anna-Maria Liphardt, Johanna Bräunig, Johann Penner, Michael Klebl, Koray Tascilar, Martin Vossiek, Arnd Kleyer, Georg Schett, and Sigrid Leyendecker. 2021. "Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis—A Pilot Study" Sensors 21, no. 4: 1208. https://doi.org/10.3390/s21041208

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