Hemiparesis, Stroke
Conditions
Keywords
cognitive skills, technical, internet platform, Stroke, Hemiparesis
Brief summary
The purpose of this study is to advance upper limb robot-mediated tele-rehabilitation for patients recovering from stroke by empowering them through active science participation. By varying the tasks' features and affordances of a platform that combines a low-cost haptic device on one hand, and an online citizen science platform on the other, investigators will evaluate different strategies for social telerehabilitation. the two fundamental modes of social interaction - competition and cooperation - in addition to a control condition. Specifically, citizen science activities will be performed by competing, cooperating, or isolated users, and their rehabilitation effectiveness examined. Such effectiveness will be measured by (i) participants' rehabilitation performance (inferred from sensorimotor data acquired through the platform and directly quantified by a supervising therapist); (ii) participants' motivations to contribute (measured through surveys administered online); and (iii) participants' emotional well-being and sense of self-esteem (measured through online surveys).
Interventions
DEVICECitizen Science intervention using kinect
Users are asked to tag objects on a screen
Sponsors
National Science Foundation
Foundation for Physical Medicine and Rehabilitation
Johns Hopkins University
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DEVICE_FEASIBILITY
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 65 Years
Healthy volunteers
Yes
Inclusion criteria
For treatment group: * post-stroke hemiparesis \>3 months * ability to stand or sit independently * sufficient cognitive skills to perform the exercises as demonstrated * full passive range of motion in the affected arm but limited active movement as determined by a upper extremity Fugl-Meyer score of \<50/66 * technical savvy and interest to use an internet platform For control group: (ii) no history of learning disabilities (iii) technical savvy and interest to use an internet platform
Exclusion criteria
For treatment group: * visual deficit such as deficit in visual acuity, eye movements, visual field cut, or neglect * medical comorbidity such as other neurological conditions (e.g. Parkinson's disease, brain tumor, epilepsy), or previous injury to the upper limb * pain in the upper limbs that prevents full passive range of motion to perform the exercises. For control group: * visual deficit such as deficit in visual acuity, eye movements, visual field cut, or neglect * any previous injury or medical condition that prevents full passive range of motion to perform the exercises.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Feasibility of the kinect motion capture platform to capture movement assessed by range of motion | 1 day | Range-of-motion measurements of the affected and unaffected arm using the kinect motion capture platform. |
| Feasibility of the kinect motion capture platform to capture workload assessed by NASA Task Load Index | 1 day | Assesses work load on five 7-point scales. A series of measures that capture workload. Each scale employs a visual analog scale that measures each of the domains. The domains are Mental Domain, Physical Demand, Temporal Demand, Performance, Effort and Frustration Level. Each scale domain and the Composite has a range from 0 to 100 with 100 being the highest indicator of workload. |
| Feasibility of the kinect motion capture platform usability assessed by the System usability scale | 1 day | Using a 10 item scale to assess the usability of the technology platform with stroke patients. The measure is scored on a 0-100 scale, a higher score means a better outcome. |
Countries
United States
Outcome results
None listed