ArticleApplied bionics and biomechanics2022
A Pilot Study of Compensatory Strategies for Reach-to-Grasp-Pen in Patients with Stroke.
Article in Applied bionics and biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Kinematic instrumental assessment quantifies compensatory strategies in post-stroke patients.Medical & biological engineering & computing · 2026Observational
- Intelligent Assessment Techniques for Abnormal Movement Patterns in Neurological Disorders: Applications and Advances.Behavioural neurology · 2025Review
- Design Optimization of a Soft Robotic Rehabilitation Glove Based on Finger Workspace Analysis.Biomimetics (Basel, Switzerland) · 2024Article
- Commercial device-based hand rehabilitation systems for stroke patients: State of the art and future prospects.Heliyon · 2023Review
- A Pilot Study of Compensatory Strategies for Reach-to-Grasp-Pen in Patients with Stroke.Applied bionics and biomechanics · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coordinated reaching and grasping movements may be impaired in patients with poststroke hemiplegia. Patients frequently adopt compensatory strategies, which require investigation. This pilot study used kinematic parameters to examine compensatory strategies by assessing the reach-to-grasp-pen movements in patients with stroke and unaffected participants. Twelve patients with stroke with mild impairment (45.16 ± 12.62 years, 2.41 ± 1.97 months), twelve with moderate impairment (50.41 ± 12.92 years, 3.83 ± 3.58 months), and ten healthy individuals (20.6 ± 0.69 years) performed a reach-to-grasp-pen task. Kinematics parameters of upper limb and fingers, such as movement time, number of movement units, index of curvature, spectral arc length, trunk forward transition, trunk lateral transition, elbow extension, shoulder flexion, shoulder abduction, trunk rotation, arm-plane angle, the joint angles of interphalangeal joints of the thumb, index, middle, ring, and little fingers were examined in the study. These parameters were evaluated with two Microsoft Azure Kinect and Leap Motion, which belong to markerless motion capture systems. Patients with stroke showed longer reaching movement time, less smooth movement trajectories, and more trunk rotation (
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Registered trials
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