Cerebral Vascular Accident, Stroke
Conditions
Keywords
Upper Extremity, Rehabilitation, Stroke
Brief summary
The purpose of this study is to evaluate the safety, feasibility, and preliminary efficacy of the ExoNET passive robotic device. It will provide upper-extremity gravity compensation for therapeutic movement retraining in the chronic post stroke patient population.
Detailed description
The ExoNET, a passive robotic solution that provides a soft, biomimetic, and elastic alternative to robotics that embodies intelligence within the mechanical design. Several groups have been exploring performance enhancement using springs with custom-tuned parameters via optimization. Here, it is possible to have a simple reconfigurable system that can not only assist performance, but can also make training easier, faster, and more complete. This contribution has the potential to be clinically significant for rehabilitating neurologically impaired individuals because this proposal will investigate how motor learning can be facilitated through novel assistive technology. The primary objective of this study is to evaluate the safety, feasibility and efficacy using the ExoNET. Specifically, investigators want to see if the ExoNET tuned to gravity support will lead to a reduction in bicep muscle activity and an increase in range of motion. To accomplish this aim, we plan to have participants perform reaching, arm elevation and flexion task exercises wearing the ExoNET. To achieve these goals, we will use a wearable activity tracker (MiGo), to detect the number of activities performed, a wearable surface EMG system (Delsys) on the bicep muscles and a markerless system called the Kinect (version 2) to collect distribution of motion. Investigators hypothesize that individuals with post-stroke arm movement deficits treated with ExoNET gravity compensation will improve their ARAT measures more than controls receiving a sham treatment. Secondarily, treated subjects will improve in other clinical metrics and will make more movements than controls.
Interventions
This study's primary goal is to test the safety, feasibility, and efficacy of the ExoNET device developed in the Robotics Lab at the Shirley Ryan AbilityLab. We want to observe if individuals using the ExoNET tuned to gravity support will notice a reduction in bicep muscle activity, leading to an improvement in functional outcome measures in stroke patients.
Sponsors
Study design
Eligibility
Inclusion criteria
1. Ischemic or hemorrhagic stroke (8 months post stroke) 2. Available medical records and radiographic information about lesion locations 3. Hemiparesis 4. Some degree of both shoulder and elbow movement capability 5. A moderate impairment (Fugl-Meyer score between 15-50)
Exclusion criteria
1. Individuals under the age of 18 2. Bilateral paresis 3. Shoulder pain and/or articular rigidity on the upper limb joint 4. Spasticity (Modified Ashworth Scale of 2) 5. Botox injection to the affected upper extremity within the previous 4 months 6. Aphasia, cognitive impairment, or affective dysfunction that would influence the ability to perform the experiment
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Action Research Arm Test | Tested at week 1 (baseline evaluations), week 4 (post evaluations), and week 9 (follow-up evaluations) | observational measure used to assess change in upper extremity performance in individuals with a damaged nervous system |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Fugl-Meyer | Tested at week 1 (baseline evaluations), week 4 (post evaluations), and week 9 (follow-up evaluations) | observational measure used to measure change in upper extremity impairment in individuals with a damaged nervous system |
| Wolf Motor Function Test | Tested at week 1 (baseline evaluations), week 4 (post evaluations), and week 9 (follow-up evaluations) | Quantitative measure of change of upper extremity motor ability |
| Box and Blocks | Tested at week 1 (baseline evaluations), week 4 (post evaluations), and week 9 (follow-up evaluations) | Measures change in unilateral gross motor dexterity |
Other
| Measure | Time frame | Description |
|---|---|---|
| Electromyography using Delsys | Treatment phases (week 2 and week 3) | Delsys sensors will be used to measure change in biceps activity |
| Kinect | Treatment phases (week 2 and week 3) | markerless system to collect changes of distribution of motion |
Countries
United States