ArticleJournal of neuroengineering and rehabilitation2017
KAPS (kinematic assessment of passive stretch): a tool to assess elbow flexor and extensor spasticity after stroke using a robotic exoskeleton.
Article in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Technology-assisted assessment of spasticity: a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- The diagnostic levels of evidence of instrumented devices for measuring viscoelastic joint properties and spasticity; a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.Journal of neuroengineering and rehabilitation · 2020Trial
- Tracking spasticity dynamics in hemiparetic stroke survivors following cyproheptadine administration: a pilot study using controlled varying tendon indentation depths.Frontiers in stroke · 2025Article
- Intelligent Assessment Techniques for Abnormal Movement Patterns in Neurological Disorders: Applications and Advances.Behavioural neurology · 2025Review
- The independence of impairments in proprioception and visuomotor adaptation after stroke.Journal of neuroengineering and rehabilitation · 2024Article
- System identification: a feasible, reliable and valid way to quantify upper limb motor impairments.Journal of neuroengineering and rehabilitation · 2023Article
- Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability.Journal of neuroengineering and rehabilitation · 2023Review
- Development of a single device to quantify motor impairments of the elbow: proof of concept.Journal of neuroengineering and rehabilitation · 2022Article
- Emerging technologies for management of patients with amyotrophic lateral sclerosis: from telehealth to assistive robotics and neural interfaces.Journal of neurology · 2022Review
- Reliability and Validity of a New Diagnostic Device for Quantifying Hemiparetic Arm Impairments: An Exploratory Study.Journal of rehabilitation medicine · 2022Article
- Robotic Assessment of Upper Limb Function in a Nonhuman Primate Model of Chronic Stroke.Translational stroke research · 2021Article
- Integrated robotics platform with haptic control differentiates subjects with Parkinson's disease from controls and quantifies the motor effects of levodopa.Journal of neuroengineering and rehabilitation · 2019Article
- A postural unloading task to assess fast corrective responses in the upper limb following stroke.Journal of neuroengineering and rehabilitation · 2019Article
- Upper limb robotic assessment: Pilot study comparing velocity dependent resistance in individuals with acquired brain injury to healthy controls.Journal of rehabilitation and assistive technologies engineeringArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpasticity is a common sequela of stroke. Traditional assessment methods include relatively coarse scales that may not capture all characteristics of elevated muscle tone. Thus, the aim of this study was to develop a tool to quantitatively assess post-stroke spasticity in the upper extremity.
methodsNinety-six healthy individuals and 46 individuals with stroke participated in this study. The kinematic assessment of passive stretch (KAPS) protocol consisted of passive elbow stretch in flexion and extension across an 80° range in 5 movement durations. Seven parameters were identified and assessed to characterize spasticity (peak velocity, final angle, creep (or release), between-arm peak velocity difference, between-arm final angle, between-arm creep, and between-arm catch angle).
resultsThe fastest movement duration (600 ms) was most effective at identifying impairment in each parameter associated with spasticity. A decrease in peak velocity during passive stretch between the affected and unaffected limb was most effective at identifying individuals as impaired. Spasticity was also associated with a decreased passive range (final angle) and a classic 'catch and release' as seen through between-arm catch and creep metrics.
conclusionsThe KAPS protocol and robotic technology can provide a sensitive and quantitative assessment of post-stroke elbow spasticity not currently attainable through traditional measures.
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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.