Relearning Upper Limb Proprioception After Stroke Through Robotic Therapy: A Feasibility Analysis DOI Open Access
Ananda Sidarta, Yu Chin Lim, Christopher Wee Keong Kuah

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2189 - 2189

Published: March 23, 2025

Background: Motor learning can occur through active reaching with the arm hidden from view, leading to improvements in somatosensory acuity and modulation of functional connectivity sensorimotor reward networks. In this proof-of-principle study, we assess if same paradigm benefits stroke survivors using a compact end-effector robot integrated gaming elements. Methods: Nine community-dwelling chronic hemiplegic persistent deficits participated 15 training sessions, each lasting 1 h. Every session comprised robotic-based joint approximation block, followed by 240 repetitions forward-reaching task affected forearm covered view. During movement, provided haptic guidance along movement path as enhanced sensory cues. Augmented feedback was given following every successful positive reinforcement. Baseline, post-intervention, 1-month follow-up assessments were conducted, latter two sessions occurring after final day. Results: Training led reliable endpoint accuracy, faster completion times, smoother movements. Acceptability feasibility analyses performed understand viability intervention. Significant improvement observed mainly outcomes up month post training, suggesting that effects predominantly sensory, rather than motor. Conclusions: The study provide preliminary evidence supporting intervention for future adoption neurorehabilitation.

Language: Английский

Relearning Upper Limb Proprioception After Stroke Through Robotic Therapy: A Feasibility Analysis DOI Open Access
Ananda Sidarta, Yu Chin Lim, Christopher Wee Keong Kuah

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(7), P. 2189 - 2189

Published: March 23, 2025

Background: Motor learning can occur through active reaching with the arm hidden from view, leading to improvements in somatosensory acuity and modulation of functional connectivity sensorimotor reward networks. In this proof-of-principle study, we assess if same paradigm benefits stroke survivors using a compact end-effector robot integrated gaming elements. Methods: Nine community-dwelling chronic hemiplegic persistent deficits participated 15 training sessions, each lasting 1 h. Every session comprised robotic-based joint approximation block, followed by 240 repetitions forward-reaching task affected forearm covered view. During movement, provided haptic guidance along movement path as enhanced sensory cues. Augmented feedback was given following every successful positive reinforcement. Baseline, post-intervention, 1-month follow-up assessments were conducted, latter two sessions occurring after final day. Results: Training led reliable endpoint accuracy, faster completion times, smoother movements. Acceptability feasibility analyses performed understand viability intervention. Significant improvement observed mainly outcomes up month post training, suggesting that effects predominantly sensory, rather than motor. Conclusions: The study provide preliminary evidence supporting intervention for future adoption neurorehabilitation.

Language: Английский

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