ArticleJournal of neuroengineering and rehabilitation2022
Characterization of stroke-related upper limb motor impairments across various upper limb activities by use of kinematic core set measures.
Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03135093 (Assessing Pathological Synergies of Upper Limb Function and the Relationship to Visuospatial Exploration After Stroke), which is not on this map. Cited by 19 papers.
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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.
Assessing Pathological Synergies of Upper Limb Function and the Relationship to Visuospatial Exploration After Stroke
Who cites it
19 citing papers in PubMed.
- From Metrics to Meaning in Neurological Rehabilitation: Clinicians' Perspectives on Digital Metrics of Upper Limb Functioning-A Focus Group Study.JMIR rehabilitation and assistive technologies · 2026Article
- Feasibility of the Meta Quest 3 for upper limb kinematic analysis: accuracy, consistency, agreement and reliability.Journal of neuroengineering and rehabilitation · 2026Article
- Advancing Wearable-Based Upper-Limb Stroke Recovery Assessment to the Clinic: A Comparison of Movement Segmentation Strategies.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Sensor-driven control strategies for post-stroke shoulder rehabilitation exoskeletons: A systematic review.MethodsX · 2025Review
- Phase-Specific Biomechanical Characterization of Upper Limb Movements in Stroke.Bioengineering (Basel, Switzerland) · 2025Article
- Touchscreen-based assessment of upper limb kinematics after stroke: Reliability, validity and sensitivity to motor impairment.Journal of neuroengineering and rehabilitation · 2025Article
- Phase-specific multimodal biomarkers enable explainable assessment of upper limb dysfunction in chronic stroke.Frontiers in neuroscience · 2025Article
- Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentation.Sensors (Basel, Switzerland) · 2024Article
- 3D-ARM-Gaze: a public dataset of 3D Arm Reaching Movements with Gaze information in virtual reality.Scientific data · 2024Article
- PSA-FL-CDM: A Novel Federated Learning-Based Consensus Model for Post-Stroke Assessment.Sensors (Basel, Switzerland) · 2024Article
- The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- Shoulder Movement-Centered Measurement and Estimation Scheme for Underarm-Throwing Motions.Sensors (Basel, Switzerland) · 2024Article
- The association between dexterity and upper limb impairment during stroke recovery.Frontiers in neurology · 2024Article
- Article
- Development and Validation of a Bedside Scale for Assessing Upper Limb Function Following Stroke: A Methodological Study.F1000Research · 2024Article
- Quantitative Comparison of Hand Kinematics Measured with a Markerless Commercial Head-Mounted Display and a Marker-Based Motion Capture System in Stroke Survivors.Sensors (Basel, Switzerland) · 2023Article
- Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets.Sensors (Basel, Switzerland) · 2023Article
- A unified scheme for the benchmarking of upper limb functions in neurological disorders.Journal of neuroengineering and rehabilitation · 2022Article
- Correction to: Characterization of stroke-related upper limb motor impairments across various upper limb activities by use of kinematic core set measures.Journal of neuroengineering and rehabilitation · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUpper limb kinematic assessments provide quantifiable information on qualitative movement behavior and limitations after stroke. A comprehensive characterization of spatiotemporal kinematics of stroke subjects during upper limb daily living activities is lacking. Herein, kinematic expressions were investigated with respect to different movement types and impairment levels for the entire task as well as for motion subphases.
methodChronic stroke subjects with upper limb movement impairments and healthy subjects performed a set of daily living activities including gesture and grasp movements. Kinematic measures of trunk displacement, shoulder flexion/extension, shoulder abduction/adduction, elbow flexion/extension, forearm pronation/supination, wrist flexion/extension, movement time, hand peak velocity, number of velocity peaks (NVP), and spectral arc length (SPARC) were extracted for the whole movement as well as the subphases of reaching distally and proximally. The effects of the factors gesture versus grasp movements, and the impairment level on the kinematics of the whole task were tested. Similarities considering the metrics expressions and relations were investigated for the subphases of reaching proximally and distally between tasks and subgroups.
resultsData of 26 stroke and 5 healthy subjects were included. Gesture and grasp movements were differently expressed across subjects. Gestures were performed with larger shoulder motions besides higher peak velocity. Grasp movements were expressed by larger trunk, forearm, and wrist motions. Trunk displacement, movement time, and NVP increased and shoulder flexion/extension decreased significantly with increased impairment level. Across tasks, phases of reaching distally were comparable in terms of trunk displacement, shoulder motions and peak velocity, while reaching proximally showed comparable expressions in trunk motions. Consistent metric relations during reaching distally were found between shoulder flexion/extension, elbow flexion/extension, peak velocity, and between movement time, NVP, and SPARC. Reaching proximally revealed reproducible correlations between forearm pronation/supination and wrist flexion/extension, movement time and NVP.
conclusionSpatiotemporal differences between gestures versus grasp movements and between different impairment levels were confirmed. The consistencies of metric expressions during movement subphases across tasks can be useful for linking kinematic assessment standards and daily living measures in future research and performing task and study comparisons.
trial registrationClinicalTrials.gov Identifier NCT03135093. Registered 26 April 2017, https://clinicaltrials.gov/ct2/show/NCT03135093 .
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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.