MedStar National Rehabilitation Network
Washington D.C., District of Columbia, 20010, United States
NCT Number: NCT04536987
A study will be performed where individuals with chronic stroke will be randomly assigned to receive 2 different dosages of robotic hand therapy. One group will receive 12 sessions of robot-assisted repetitive movement practice in the HEXORR robot over a 4-5 week period. A second group will receive 24 sessions of HEXORR therapy over a 8-10 week period.
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Notify Me21 year and older
All sexes
Interventional
Phase 2
Washington D.C., District of Columbia, 20010, United States
The overall goal of the proposed work is to improve hand function after stroke. Adequate hand function is critical to a functional upper limb, and is often resistant to conventional therapeutic interventions. Many stroke survivors have residual ability to flex the fingers, but extension is often limited and impeded by increased passive stiffness in flexors, involuntary activation of flexors and inability to activate extensors. The rationale for this approach stems from the growing evidence that neuro-rehabilitation after stroke may be enhanced via the application of motor learning strategies within the context of repetitive movement practice. The key therapeutic aspects of these strategies are high repetition, volitional effort, and successful completion of tasks to prevent frustration. While these represent promising therapeutic strategies, they are limited to mildly impaired subjects who already have enough control of finger extension to tolerate high repetitions of grasp/release tasks without succumbing to fatigue and/or frustration. There is a very large population of stroke patients who don't fall into this category and often must rely on compensatory strategies. In these patients, repetitive task practice facilitated by a robotic device may be more effective than unassisted task practice.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The subject receives robotic assistance from the HEXORR robot during finger and thumb movements. Several different video games are used to provide feedback of performance and motivate the training. The assistance level is adjusted automatically in some games and manually in other games to enable a target success rate of 67% when playing the games.
Time frame: 6 month follow-up
Measures motor impairment in the upper extremity after stroke
Time frame: 6 month follow-up
Measures functional limitations of the upper extremity
Time frame: 6 month follow-up
Motion capture of finger and thumb movement will be used to assess extension ability in units of degrees. The task will be to open the hand as far as possible from a closed fist. Data from all digits will be averaged to provide a single metric for extension ability of the fingers and thumb.
Time frame: 6 month follow-up
Measures hypertonia in the flexors of the fingers, wrist and elbow joints
Time frame: 6 month follow-up
Measures the amount of use of the upper extremity in ADL
Time frame: 6 month follow-up
Jamar Dynamometer
The Catholic University of America
Other
Acronym: HEXORR
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