Hand Flaccid Paralysis, Paralytic Stroke, Poststroke/CVA Hemiparesis
Conditions
Keywords
Post stroke, BCI, Reeducation, Hand movement
Brief summary
The goal is to evaluate the potential of a EEG based BCI (Brain-Computer-Interface) connected to a non-invasive pneumatic glove for rehabilitation of hand-movements post-stroke.
Detailed description
Brain computer interfaces (BCI) encompasses the usage of the brain signals to compensate for lost physical function. The current protocol evaluates the therapeutic potential of a EEG based driven BCI that is connected to a non-invasive pneumatic glove for rehabilitation of hand flexion/extension post-stroke. The system non-invasive, portable and low-cost. The utility and usability of the system will be investigated at two levels. First by means of questionnaires for patients and therapist and second by means of in depth analysis of the EEG signals during intended, imagined and passive driven hand movements in relation to no movement at all and the capacity of the BCI to distinguish between these conditions.
Interventions
Using EEG signals to classify brain activity being 'rest' or 'active' to control the attached pneumatic glove and close the sensory-motor loop between intentional/mental movement and physical (though passive) movement.
Sponsors
Study design
Eligibility
Inclusion criteria
* \> 6 months post-stroke (chronic), unilateral * \> 18 yrs * little to no hand movement * spasticity \< 3 on modified Ashworth Scale
Exclusion criteria
* major cognitive deficits (Folstein mini mental status \> 23 * strong hemi-neglect (Catherine Bergego scale \> 15/30)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Performance of the BCI-system (evaluation of performance through patient questionaires & the performance of the BCI classifier during intended and imagined hand movements) | During the whole study. Assesment is made for each patient after his participation ( 2 hours). | Evaluation of the BCI-platform performance through patient questionnaires & the performance of the BCI classifier during intended and imagined hand movements. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| EEG sensory-motor rhythm signals (Detailed analysis of the EEG signals in relation to the severity of the paresis and movement condition) | During the whole studyAssesment is made for each patient after his participation ( 2 hours). | Detailed analysis of the EEG signals in relation to the severity of the paresis and movement condition |
Countries
France