Evidence map›Paper›PMID 38606036›Full record

ArticleFrontiers in digital health2024

Upper limb movement quality measures: comparing IMUs and optical motion capture in stroke patients performing a drinking task.

T Unger, R de Sousa Ribeiro, M Mokni, T Weikert, J Pohl, A Schwarz, J P O Held, L Sauerzopf, B Kühnis, E Gavagnin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

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  13. CKATool: A clinical kinematic analysis toolbox for upper limb rehabilitation.Computational and structural biotechnology journal · 2025
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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

15 authors at 6 institutions in 1 country.

T UngerDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
R de Sousa RibeiroRehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland.
M MokniDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
T WeikertDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
J PohlDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
A SchwarzDepartment of Neurology, UCLA, Los Angeles, CA, United States.
J P O HeldAmbulante Reha Triemli Zurich, Zurich, Switzerland.
L SauerzopfZHAW School of Health Sciences, Institute of Occupational Therapy, Winterthur, Switzerland.
B KühnisZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.
E GavagninZHAW School of Management and Law, Institute of Business Information Technology, Winterthur, Switzerland.
A R LuftDivision of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
R GassertRehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland.
O LambercyRehabilitation Engineering Laboratory, ETH Zurich, Zurich, Switzerland.
C Awai EasthopeDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
J G SchönhammerDART Lab, Lake Lucerne Institute, Vitznau, Switzerland.
University of Lucerne · CHETH Zurich · CHUniversity of Zurich · CHBusiness and Hotel Management School · CHTriemli Hospital · CHZHAW Zurich University of Applied Sciences · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Clinical assessment of upper limb sensorimotor function post-stroke is often constrained by low sensitivity and limited information on movement quality. To address this gap, recent studies proposed a standardized instrumented drinking task, as a representative daily activity combining different components of functional arm use. Although kinematic movement quality measures for this task are well-established, and optical motion capture (OMC) has proven effective in their measurement, its clinical application remains limited. Inertial Measurement Units (IMUs) emerge as a promising low-cost and user-friendly alternative, yet their validity and clinical relevance compared to the gold standard OMC need investigation. Method: In this study, we conducted a measurement system comparison between IMUs and OMC, analyzing 15 established movement quality measures in 15 mild and moderate stroke patients performing the drinking task, using five IMUs placed on each wrist, upper arm, and trunk. Results: Our findings revealed strong agreement between the systems, with 12 out of 15 measures demonstrating clinical applicability, evidenced by Limits of Agreement (LoA) below the Minimum Clinically Important Differences (MCID) for each measure. Discussion: These results are promising, suggesting the clinical applicability of IMUs in quantifying movement quality for mildly and moderately impaired stroke patients performing the drinking task.

Indexed as

drinking taskIMU validationmeasurement system comparisonmovement analisysmovement qualityneurorehabilitation after strokeupper limb assessment

Identifiers

PMID38606036
PMCPMC11006959
OpenAlexW4393276324

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.