Evidence map›Paper›PMID 33572273›Full record

ArticleSensors (Basel, Switzerland)2021

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

Uday Phutane, Anna-Maria Liphardt, Johanna Bräunig, Johann Penner, Michael Klebl, Koray Tascilar, Martin Vossiek, Arnd Kleyer, Georg Schett, Sigrid Leyendecker

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Uday PhutaneChair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
Anna-Maria LiphardtDepartment of Internal Medicine 3-Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany.ORCID 0000-0003-0739-1959
Johanna BräunigInstitute of Microwaves and Photonics, FAU, 91058 Erlangen, Germany.ORCID 0000-0003-2276-272X
Johann PennerChair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.ORCID 0000-0003-1807-2005
Michael KleblChair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
Koray TascilarDepartment of Internal Medicine 3-Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany.ORCID 0000-0002-8109-826X
Martin VossiekInstitute of Microwaves and Photonics, FAU, 91058 Erlangen, Germany.ORCID 0000-0002-8369-345X
Arnd KleyerDepartment of Internal Medicine 3-Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany.
Georg SchettDepartment of Internal Medicine 3-Rheumatology and Immunology, University Hospital Erlangen, FAU, 91054 Erlangen, Germany.
Sigrid LeyendeckerChair of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversitätsklinikum Erlangen · DE

Funding

Deutsche Forschungsgemeinschaft INST 90 / 985-1 FUGG
6 · The paper itself

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.

Indexed as

Arthritis, RheumatoidMovementRadarHandHumansPilot ProjectsarthritisDoppler radarhand functionhand movementmarkerless motion captureMoberg-Picking-Up Testoptical measurement system

Identifiers

PMID33572273
PMCPMC7914794
OpenAlexW3128256334

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.