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

Phutane U, Liphardt AM, Bräunig J, Penner J, Klebl M, Vossiek M, Kleyer A, Schett G, Leyendecker S, Tascilar K (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Sensors MDPI

Book Volume: 21

Article Number: 1208

Journal Issue: 4

DOI: 10.3390/s21041208

Abstract

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.

Authors with CRIS profile

Uday Phutane Institute of Applied Dynamics Anna-Maria Liphardt Department of Medicine 3 – Rheumatology and Immunology Johanna Bräunig Lehrstuhl für Hochfrequenztechnik Johann Penner Institute of Applied Dynamics Michael Klebl Institute of Applied Dynamics Martin Vossiek Lehrstuhl für Hochfrequenztechnik Arnd Kleyer Department of Medicine 3 – Rheumatology and Immunology Georg Schett Lehrstuhl für Innere Medizin III Sigrid Leyendecker Institute of Applied Dynamics Koray Tascilar Department of Medicine 3 – Rheumatology and Immunology

How to cite

APA:

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

MLA:

Phutane, Uday, et al. "Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis — A Pilot Study." Sensors 21.4 (2021).

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