Evidence map›Paper›PMID 42626186›Full record

ArticleFrontiers in neurology2026

Quantification of daily upper arm use after stroke using an IMU-based kinematic model.

Noy Goldhamer, Yogev Koren, Tamar Mizrahi, Adi Lorber-Haddad, Reut Binyamin-Netser, Lior Shmuelof

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Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Noy GoldhamerThe Lillian and David E. Feldman Research Center for Rehabilitation Sciences, Adi Negev - Nahalat Eran Medical Center, Ofakim, Israel.
Yogev KorenDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Tamar MizrahiNeurologic Rehabilitation Department at ADI Negev-Nahalat Eran, Ofakim, Israel.
Adi Lorber-HaddadDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Reut Binyamin-NetserDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Lior ShmuelofDepartment of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Upper limb (UL) impairment is one of the most common and disabling consequences of stroke, limiting independence and the performance of daily activities. Although rehabilitation aims to reduce impairments and enhance real-world activity performance, clinical motor assessments often fail to capture spontaneous UL use. This discrepancy between motor capacity observed in clinical settings and actual performance of daily activities underscores the need for objective, ecologically valid monitoring tools. Wearable inertial measurement units (IMUs) have emerged as feasible methodology for quantifying real-world UL use; however, the clinical interpretability and validity of kinematic metrics derived from measures of activity in persons with stroke (PwS) remain insufficiently established. Objective: To evaluate the utility of three IMU-derived kinematic measures of UL use in persons with stroke (PwS) during routine daily activity and to examine their associations with clinical assessments of motor impairment. Methods: Nineteen individuals in the subacute stage after stroke wore five IMU sensors during routine daytime activities in a rehabilitation hospital. Three kinematic measures - wrist path length, cumulative elbow angular displacement, and movement space volume - were extracted for each arm and combined to asymmetry indices. Clinical assessments included the Fugl-Meyer Assessment for the upper extremity (FMA-UE), Action Research Arm Test (ARAT), and grip strength. Asymmetry indices and their correlations with clinical measures were analyzed. Results: All IMU-derived measures were significantly reduced in the paretic arm compared with the non-paretic arm ( Conclusion: IMU-based kinematic measures effectively capture reduced daily UL use in PwS and demonstrate associations with clinical impairment. These findings support the potential of wearable sensors to quantify daily arm use as an ecologically valid indicator of activity performance and recovery.

Indexed as

Activities of Daily LivingArmStrokeUpper ExtremityWearable Electronic DevicesAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMotion CaptureStroke Rehabilitationactivity asymmetryecological validitymotor performance monitoringstroke rehabilitationupper limb functionwearable motion sensors

Identifiers

PMID42626186
PMCPMC13490940

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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.