Evidence map›Paper›PMID 39934877›Full record

ArticleJournal of neuroengineering and rehabilitation2025

Touchscreen-based assessment of upper limb kinematics after stroke: Reliability, validity and sensitivity to motor impairment.

Sandra Goizueta, María Dolores Navarro, Gabriela Calvo, Gloria Campos, Carolina Colomer, Enrique Noé, Roberto Llorens

Registry-linked trialAbstract readValidation Study
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. It is linked to trial NCT06881680 (Effects of Virtual Reality Features on Upper Limb Motor Function in Post-stroke Patients), which is not on this 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

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.

NCT06881680 nanot yet recruitingnot on this map

Effects of Virtual Reality Features on Upper Limb Motor Function in Post-stroke Patients

TypeinterventionalSponsorQilu Hospital of Shandong UniversityRan2025 to 2027Enrolled120ConditionsStrokeArmsvirtual reality (VR) head mounted display
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Sandra Goizueta *Neurorehabilitation and Brain Research Group, Instituto for Human-Centered Technology Research, Universitat Politècnica de València, Ciudad Politécnica de la Innovación, Building 8B, Access M, Floor 0. Camino de Vera s/n, València, 46022, Spain.
María Dolores Navarro *Instituto de Rehabilitación Neurológica, IRENEA, Fundación Vithas, València, Spain.
Gabriela CalvoNeurorehabilitation and Brain Research Group, Instituto for Human-Centered Technology Research, Universitat Politècnica de València, Ciudad Politécnica de la Innovación, Building 8B, Access M, Floor 0. Camino de Vera s/n, València, 46022, Spain.
Gloria CamposNeurorehabilitation and Brain Research Group, Instituto for Human-Centered Technology Research, Universitat Politècnica de València, Ciudad Politécnica de la Innovación, Building 8B, Access M, Floor 0. Camino de Vera s/n, València, 46022, Spain.
Carolina ColomerInstituto de Rehabilitación Neurológica, IRENEA, Fundación Vithas, València, Spain.
Enrique NoéInstituto de Rehabilitación Neurológica, IRENEA, Fundación Vithas, València, Spain.
Roberto LlorensNeurorehabilitation and Brain Research Group, Instituto for Human-Centered Technology Research, Universitat Politècnica de València, Ciudad Politécnica de la Innovación, Building 8B, Access M, Floor 0. Camino de Vera s/n, València, 46022, Spain. rllorens@htech.upv.es.

Funding

Conselleria d'Innovació, Universitats, Ciència i Societat Digital of Generalitat Valenciana CIDEXG/2022/15Fundació la Marató de TV3,Spain 60/2023Ministerio de Ciencia e Innovación PID2022-141498OA-I00
6 · The paper itself

Abstract

backgroundConventional clinical tools for assessing upper limb motor function often lack the sensitivity and specificity needed to detect subtle changes in motor performance and may be subject to bias. Kinematic assessment offers a potential solution by providing objective, precise, and detailed data on movement quality. However, it is typically associated with high costs, complex equipment, time-consuming procedures, and the need for controlled environments, all of which limit its accessibility and practicality in clinical settings. This study aimed to evaluate the reliability, validity, and sensitivity of a low-cost, touchscreen-based kinematic assessment tool for measuring upper limb function in individuals post-stroke.

methodsSixty-four individuals with stroke participated in this study. Participants performed a visually guided reaching task on a large touch screen that consisted in reaching from a central target to five outer targets arranged in a circular pattern, each at a time, and then returning to the central target. Their motor function was assessed using the Fugl-Meyer Assessment for Upper Extremity, the Box and Block Test, and the Nine Hole Peg Test. Kinematic measures of the trajectories performed during the reaching task were extracted and analyzed for reliability, convergent validity with clinical assessments, and sensitivity to impairment severity.

resultsThe kinematic measures demonstrated good to excellent test-retest reliability, with intraclass correlation coefficients ranging from moderate to excellent. The convergent validity analysis revealed multiple significant correlations between the kinematic parameters and clinical assessments, particularly in tests requiring higher skill and precision, such as the Coordination and Speed subscale of the Fugl-Meyer Assessment for Upper Extremity and the Nine Hole Peg Test. Additionally, the touchscreen-based assessment was sensitive to the severity of motor impairment, as reflected by notable differences in the kinematic measures among participants with varying levels of upper limb function.

conclusionsThe touchscreen-based kinematic assessment offered an affordable yet reliable, valid, and sensitive alternative for evaluating upper limb kinematics in individuals with stroke, which could complement clinical assessments by offering additional insights into motor performance. Furthermore, its low cost, high speed, and ease of use make it a practical option for widespread clinical adoption.

Indexed as

StrokeUpper ExtremityAdultAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityStroke RehabilitationUser-Computer InterfaceConvergent validityKinematic assessmentReliabilitySensitivityStrokeTouchscreen technologyUpper limb

Identifiers

PMID39934877
PMCPMC11817959

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Registered trials

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.