ArticleApplied bionics and biomechanics2019
Kinematic Parameters for Tracking Patient Progress during Upper Limb Robot-Assisted Rehabilitation: An Observational Study on Subacute Stroke Subjects.
Article in Applied bionics and biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Defining Severity Levels for Post-Stroke Upper Limb Motor Impairment and Activity Limitation: A Systematic Review.NeuroRehabilitation · 2026Pooled it
- Quantifying Quality of Reaching Movements Longitudinally Post-Stroke: A Systematic Review.Neurorehabilitation and neural repair · 2022Pooled it
- Trial
- Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study.Journal of neuroengineering and rehabilitation · 2021Trial
- A structural causal model for robot-assisted upper-limb neurorehabilitation.Frontiers in rehabilitation sciences · 2026Article
- Compensation Strategies in Post-Stroke Individuals: Insights from Upper Body Kinematics Analysis Based on Inertial Sensors.Sensors (Basel, Switzerland) · 2025Article
- Efficacy of Robot-assisted Training on Upper Limb Motor Function After Stroke: A Systematic Review and Network Meta-analysis.Archives of rehabilitation research and clinical translation · 2025Review
- The effect of gravity on hand spatio-temporal kinematic features during functional movements.PloS one · 2024Article
- User Experience Evaluation of Upper Limb Rehabilitation Robots: Implications for Design Optimization: A Pilot Study.Sensors (Basel, Switzerland) · 2023Article
- A guide to inter-joint coordination characterization for discrete movements: a comparative study.Journal of neuroengineering and rehabilitation · 2023Review
- Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network.Journal of neuroengineering and rehabilitation · 2022Article
- A unified scheme for the benchmarking of upper limb functions in neurological disorders.Journal of neuroengineering and rehabilitation · 2022Article
- Development of a single device to quantify motor impairments of the elbow: proof of concept.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
- Impact of Dose of Combined Conventional and Robotic Therapy on Upper Limb Motor Impairments and Costs in Subacute Stroke Patients: A Retrospective Study.Frontiers in neurology · 2022Article
- Sensor Network for Analyzing Upper Body Strategies in Parkinson's Disease versus Normative Kinematic Patterns.Sensors (Basel, Switzerland) · 2021Article
- Providing unloading by exoskeleton improves shoulder flexion performance after stroke.Experimental brain research · 2021Article
- Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers.Frontiers in neurology · 2021Article
- Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements.PloS one · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUpper limb robot-assisted therapy (RT) provides intensive, repetitive, and task-specific treatment, and its efficacy for stroke survivors is well established in literature. Biomechanical data from robotic devices has been widely employed for patient's assessment, but rarely it has been analysed for tracking patient progress during RT. The goal of this retrospective study is to analyse built-in kinematic data registered by a planar end-effector robot for assessing the time course of motor recovery and patient's workspace exploration skills. A comparison of subjects having mild and severe motor impairment has been also conducted. For that purpose, kinematic data recorded by a planar end-effector robot have been processed for investigating how motor performance in executing point-to-point trajectories with different directions changes during RT.
methodsObservational retrospective study of 68 subacute stroke patients who conducted 20 daily sessions of upper limb RT with the InMotion 2.0 (Bionik Laboratories, USA): planar point-to-point reaching tasks with an "assist as needed" strategy. The following kinematic parameters (KPs) were computed for each subject and for each point-to-point trajectory executed during RT: movement accuracy, movement speed, number of peak speed, and task completion time. The Wilcoxon signed-rank tests were used with clinical outcomes. the Friedman test and post hoc Conover's test (Bonferroni's correction) were applied to KPs. A secondary data analysis has been conducted by comparing patients having different severities of motor impairment. The level of significance was set at
resultsAt the RT onset, the movements were less accurate and smoothed, and showed higher times of execution than those executed at the end of treatment. The analysis of the time course of KPs highlighted that RT seems to improve the motor function mainly in the first sessions of treatment: most KPs show significant intersession differences during the first 5/10 sessions. Afterwards, no further significant variations occurred. The ability to perform movements away from the body and from the hemiparetic side remains more challenging. The results obtained from the data stratification show significant differences between subjects with mild and severe motor impairment.
conclusionSignificant improvements in motor performance were registered during the time course of upper limb RT in subacute stroke patients. The outcomes depend on movement direction and motor impairment and pave the way to optimize healthcare resources and to design patient-tailored rehabilitative protocols.
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Registered trials
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