Evidence map›Paper›PMID 40045323›Full record

ArticleJournal of neuroengineering and rehabilitation2025

The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-design study.

Philipp Gulde, Heike Vojta, Stephanie Schmidle, Peter Rieckmann, Joachim Hermsdörfer

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

5 authors.

Philipp GuldeChair of Human Movement Science, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. philipp.gulde@tum.de.
Heike VojtaCenter for Clinical Neuroplasticity, Medical Park SE, Bischofswiesen, Germany.
Stephanie SchmidleChair of Human Movement Science, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Peter RieckmannCenter for Clinical Neuroplasticity, Medical Park SE, Bischofswiesen, Germany.
Joachim HermsdörferChair of Human Movement Science, Department Health and Sport Sciences, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.

Funding

Federal Ministry of Education and Research (BMBF) and the Free State of Bavaria TUM Innovation Network eXprt
6 · The paper itself

Abstract

backgroundQuantifying and monitoring the sensorimotor state of persons with neurological disease by means of wearables in everyday life has been shown to be a promising approach. To date, the impact of physical activity volumes in fixed epoch approaches has been limiting the feasibility of kinematic analyses of everyday life upper limb use.

methodsUsing acceleration and angular velocity signals from wrist-worn sensors, we collected data of healthy controls (n = 12) as well as persons with multiple sclerosis (n = 17) or stroke (n = 14) during everyday life during inpatient neurorehabilitation. An activity recognition algorithm was used to avoid physical activity volume dependencies that come with epoch-based approaches. Behavioral kinematics were compared between samples and associated with clinical test performance. Further, changes of sensorimotor capacity and behavioral kinematics during neurorehabilitation (n = 15) were analyzed.

resultsPhysical activity volume independence was achieved. Persons with neurological disease showed less activities and longer activity durations. Further, a PCA suggested three underlying components, namely: behavior, neurological state, and physical state. Components scores were lower (worse) for persons with neurological disease, except for behavior. However, component scores of persons with neurological disease showed great variability in all dimensions. Changes in sensorimotor capacity were partially associated with changes in behavioral kinematics, but effects of neurorehabilitation were mostly seen in outcomes associated with the physical state component.

conclusionsPersons with neurological disease showed neurological impairments as well as declines in the physical condition, which can to some extent be seen in behavioral kinematics. Neurorehabilitation appeared to rather affect the physical than the neurological state. By the novel approach using an activity recognizer instead of fixed epochs, it was possible show traces of sensorimotor capacity, as assessed by clinical tests, in kinematics of everyday life behavior.

Indexed as

Multiple SclerosisNeurological RehabilitationStroke RehabilitationUpper ExtremityActivities of Daily LivingAdultAgedBiomechanical PhenomenaFemaleHumansInpatientsMaleMiddle AgedStrokeWearable Electronic DevicesActivities of daily livingMultiple sclerosisNeurorehabilitationStrokeWearables

Identifiers

PMID40045323
PMCPMC11884105

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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.