ArticleJournal of neuroengineering and rehabilitation2021
Clinical validation of kinematic assessments of post-stroke upper limb movements with a multi-joint arm exoskeleton.
Article in Journal of neuroengineering and rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Recent Advances in Sensor-Based Upper-Limb and Hand Exoskeletons for Post-Stroke Rehabilitation: A Technical and Biomedical Review.Sensors (Basel, Switzerland) · 2026Review
- Assessment of Upper Limb Function Using Virtual Reality Technologies in Adults with Neurological Disorders: A Systematic Review.Neurology international · 2026Review
- Older Adult Movement Assessment Through Rehabilitation Software for Upper Limb Exoskeleton.Sensors (Basel, Switzerland) · 2026Article
- Differentiating post-stroke patients from healthy individuals via vision-based skeleton-optical fusion.Journal of neuroengineering and rehabilitation · 2025Article
- Exploratory development of human-machine interaction strategies for post-stroke upper-limb rehabilitation.Journal of neuroengineering and rehabilitation · 2025Article
- Touchscreen-based assessment of upper limb kinematics after stroke: Reliability, validity and sensitivity to motor impairment.Journal of neuroengineering and rehabilitation · 2025Article
- A guide to inter-joint coordination characterization for discrete movements: a comparative study.Journal of neuroengineering and rehabilitation · 2023Review
- Virtual reality a technological miracle transforming physical rehabilitation: A scoping review.Journal of family medicine and primary care · 2023Article
- A unified scheme for the benchmarking of upper limb functions in neurological disorders.Journal of neuroengineering and rehabilitation · 2022Article
- Baseline robot-measured kinematic metrics predict discharge rehabilitation outcomes in individuals with subacute stroke.Frontiers in bioengineering and biotechnology · 2022Article
- Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers.Frontiers in neurology · 2021Article
- Kinematic Evaluation via Inertial Measurement Unit Associated with Upper Extremity Motor Function in Subacute Stroke: A Cross-Sectional Study.Journal of healthcare engineering · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe clinical evaluation of the upper limb of severely impaired stroke patient is challenging. Sensor-based assessments may allow for an objective evaluation of this patient population. This study investigated the validity of a device-assisted approach in comparison to the clinical outcome that it is supposed to reflect.
methodsIn nineteen severely impaired chronic stroke patients, we applied a gravity-compensating, multi-joint arm exoskeleton (Armeo Spring) and compared this sensor-based assessment with the clinical outcome measure Upper Extremity Fugl-Meyer Assessment (UE-FMA) scale. Specifically, we assessed separately and subsequently the range of motion in joint space for four single joints (i.e., wrist, elbow and shoulder flexion/extension (FE), and shoulder internal/external rotation (IER)), and the closing and opening of the hand with a pressure sensor placed in the handle.
resultsWithin the kinematic parameters, a strong correlation was observed between wrist and elbow FE (r > 0.7, p < 0.003; Bonferroni corrected). The UE-FMA was significantly predicted by a multiple regression model (F (5, 13) = 12.22, p < 0.0005, adj. R
conclusionsBy applying an exoskeleton-based self-contained evaluation of single-joint movements, a clinically valid assessment of the upper limb range of motion in severely impaired stroke patients is feasible. Shoulder IER contributed most relevantly to the prediction of the clinical status. These findings need to be confirmed in a large, independent patient cohort.
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