Observational studyJournal of neuroengineering and rehabilitation2020
Technology-aided assessment of functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals.
Observational study in Journal of neuroengineering and rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05819047 (Assessment of Upper Limb Motor Performance Using an Interface With Haptic Feedback), which is not on this map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Assessment of Upper Limb Motor Performance Using an Interface With Haptic Feedback
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Characteristics and Applications of Technology-Aided Hand Functional Assessment: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Assessment of Upper Limb Function Using Virtual Reality Technologies in Adults with Neurological Disorders: A Systematic Review.Neurology international · 2026Review
- Digital Platform to Provide Health Data Feedback for Neurorehabilitation Patients: User-Centered Development and Proof-of-Concept Usability Study.JMIR rehabilitation and assistive technologies · 2026Article
- Enhancing Hand Sensorimotor Function in Individuals with Cervical Spinal Cord Injury: A Novel Tactile Discrimination Feedback Approach Using a Multiple-Baseline Design.Brain sciences · 2025Article
- Evaluating inter- and intra-rater reliability in assessing upper limb compensatory movements post-stroke: creating a ground truth through video analysis?Journal of neuroengineering and rehabilitation · 2024Article
- Influence of virtual reality and task complexity on digital health metrics assessing upper limb function.Journal of neuroengineering and rehabilitation · 2024Observational
- Localisation of the centre of the highest region of muscle spindle abundance of anterior forearm muscles.Journal of anatomy · 2024Article
- Neuroprotective Effects of Isolated Mangiferin fromCentral nervous system agents in medicinal chemistry · 2024Article
- Upper limb sensorimotor recovery in Asian stroke survivors: a study protocol for the development and implementation of a Technology-Assisted dIgitaL biOmaRker (TAILOR) platform.Frontiers in neurology · 2023Article
- Article
- A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals.Scientific reports · 2022Article
- Reliability and validity of digital health metrics for assessing arm and hand impairments in an ataxic disorder.Annals of clinical and translational neurology · 2022Article
- Personalized prediction of rehabilitation outcomes in multiple sclerosis: a proof-of-concept using clinical data, digital health metrics, and machine learning.Medical & biological engineering & computing · 2022Article
- Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.Journal of neuroengineering and rehabilitation · 2021Article
- Arm impairment and walking speed explain real-life activity of the affected arm and leg after stroke.Journal of rehabilitation medicine · 2021Article
- U-Limb: A multi-modal, multi-center database on arm motion control in healthy and post-stroke conditions.GigaScience · 2021Article
- Technology-aided assessment of functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals.Journal of neuroengineering and rehabilitation · 2020Observational
- Goal-directed upper limb movement patterns and hand grip forces in multiple sclerosis.Multiple sclerosis journal - experimental, translational and clinicalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssessing arm and hand sensorimotor impairments that are functionally relevant is essential to optimize the impact of neurorehabilitation interventions. Technology-aided assessments should provide a sensitive and objective characterization of upper limb impairments, but often provide arm weight support and neglect the importance of the hand, thereby questioning their functional relevance. The Virtual Peg Insertion Test (VPIT) addresses these limitations by quantifying arm and hand movements as well as grip forces during a goal-directed manipulation task requiring active lifting of the upper limb against gravity. The aim of this work was to evaluate the ability of the VPIT metrics to characterize arm and hand sensorimotor impairments that are relevant for performing functional tasks.
methodsArm and hand sensorimotor impairments were systematically characterized in 30 chronic stroke patients using conventional clinical scales and the VPIT. For the latter, ten previously established kinematic and kinetic core metrics were extracted. The validity and robustness of these metrics was investigated by analyzing their clinimetric properties (test-retest reliability, measurement error, learning effects, concurrent validity).
resultsTwenty-three of the participants, the ones with mild to moderate sensorimotor impairments and without strong cognitive deficits, were able to successfully complete the VPIT protocol (duration 16.6 min). The VPIT metrics detected impairments in arm and hand in 90.0% of the participants, and were sensitive to increased muscle tone and pathological joint coupling. Most importantly, significant moderate to high correlations between conventional scales of activity limitations and the VPIT metrics were found, thereby indicating their functional relevance when grasping and transporting objects, and when performing dexterous finger manipulations. Lastly, the robustness of three out of the ten VPIT core metrics in post-stroke individuals was confirmed.
conclusionsThis work provides evidence that technology-aided assessments requiring goal-directed manipulations without arm weight support can provide an objective, robust, and clinically feasible way to assess functionally relevant sensorimotor impairments in arm and hand in chronic post-stroke individuals with mild to moderate deficits. This allows for a better identification of impairments with high functional relevance and can contribute to optimizing the functional benefits of neurorehabilitation interventions.
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What OpenQuestion holds
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.