Hand Grip Rehabilitation
Hand Grip Rehabilitation - Related Videos
07:34
Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
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Cited by 4 •
2019
We performed functional MRI using a novel MRI-compatible hand-induced robotic device to evaluate its utility for monitoring hand motor function in individuals recovering from neurological deficits.
05:30
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
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2025
This study explores the effects of a configurable soft pneumatic robot on enhancing whole-brain network topology post-stroke. Graph theory analysis indicates significant improvements in clustering coefficient, path length, and global efficiency. Findings highlight the potential of programmable robotic protocols to modulate neuroplasticity and optimize functional recovery in stroke rehabilitation.
06:44
Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
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Cited by 8 •
2020
This study reports the development of a novel robot-assisted task-oriented program for hand rehabilitation. The developmental process consists of experiments using both healthy subjects and subjects who have had a stroke and suffered from subsequent motor control dysfunction.
09:36
Measurement of Spatial Stability in Precision Grip
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Cited by 2 •
2020
The goal of this protocol is to measure the center of pressure (COP) replacement using a high spatial resolution sensor sheet to reflect the spatial stability in a precision grip. The use of this protocol could contribute to greater understanding of the physiology and pathophysiology of grasping.
13:44
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Cited by 8 •
2011
Recently, a vast amount of prospects have come available for human-robot interactive systems. In this paper we outline the integration of a new robotic device with open source software that can rapidly make possible a library of interactive functionality. We then outline a clinical application for a neurorehabilitation application.
FAQs
Repeated grasp-and-release movements provide repeated opportunities to activate sensory and motor pathways. With practice, the nervous system can use information from the muscles and joints to refine when finger and forearm muscles are recruited and how much force they produce. This makes the exercise relevant to motor learning and experience-dependent neuroplasticity, not only to muscle strengthening.
Proprioceptive feedback from muscles and joints helps the nervous system refine force, timing, and recruitment of finger and forearm muscles. During repeated grasp-and-release practice, this feedback supports more controlled coordination and helps connect sensory signals with motor output. That makes grip exercises useful for studying motor learning and experience-dependent neuroplasticity.
Graded resistance and task-specific practice address different rehabilitation demands. Resistance provides a way to challenge hand and forearm force, while task-specific activities connect that effort to functional use. Combining them can support improvements in strength and coordination while allowing difficulty to be adjusted according to measured performance and fatigue.
A basic program can include repeated grasp-and-release movements, graded resistance, and practice of tasks that resemble needed hand use. Clinicians or researchers can vary the challenge and monitor performance as training proceeds. This flexible structure links exercise selection to the person’s strength, coordination, endurance, and functional goals without assuming that one exercise suits every impairment.
Grip force and fatigue provide practical indicators of performance during a clinical program. Tracking these measures over time can show whether force capacity or endurance is changing and can help guide progression. Interpreted alongside coordination and functional use, they support adjustments to exercise difficulty rather than relying on a single outcome.
In neuroscience, the hand offers a practical model for examining motor learning and experience-dependent neuroplasticity because grip practice engages sensory and motor pathways and produces measurable force-related outcomes. The same principles inform rehabilitation technology and assistive-device design, where force, timing, recruitment, and fatigue are relevant targets for tracking or supporting hand function.