An EEG-Based Brain-Computer Interface (BCI) for Stroke Rehabilitation
Mentor 1
Qussai Mohammed Obiedat
Mentor 2
Roger O. Smith
Location
Union Wisconsin Room
Start Date
5-4-2019 1:30 PM
End Date
5-4-2019 3:30 PM
Description
Does Electroencephalograph (EEG) guided Functional Electrical Stimulation (FES) facilitate the recovery of a stroke?Stroke survivors’ main obstacle of recovery is restoration in the upper extremity motor function. Loss of motor function affects the ability to carry out activities of daily living and reduces independence. The effects of a stroke refrain intentional movements in the motor cortex from occurring. Brain-Computer Interface (BCI) could potentially enhance upper extremity motor rehabilitation for stroke survivors by stimulating the muscles with the FES system. FES helps in rehabilitation recovery with visual feedback and the intention of muscle movement “closing the loop”. This therapy utilizes brain plasticity to achieve the goals of rehabilitation. BCI utilizes EEG data to activate the FES device. This system recognizes event-related desynchronization or synchronization from the motor cortex, resulting in the ability to control the frequency of stimulation.Restoring the upper extremity motor functioning is crucial for the process of stroke recovery. Our aim is to discover if Functional Electrical Stimulation can increase stroke survivors’ fine and gross motor skills, focusing mainly on behavioral measures and utilizing brain plasticity. 40 stroke survivors, ages 21-85 will be recruited for this study. The participants will receive BCI-FES therapy for a duration of 4-6 weeks. Behavioral assessments will be administered before, during, and after interventions. The behavioral assessments include: Action Research Arm Test, Stroke Impact Scale, Barthel Index, etc. After waiting another 4 weeks, while the participants receive no therapy, we will then administer a final session of behavioral assessments. Repeated measures of ANOVA will be used to compare the results of the assessments.We expect to observe an increased recovery of general motor skills and overall function of the individual’s affected arm using EEG-BCI.
An EEG-Based Brain-Computer Interface (BCI) for Stroke Rehabilitation
Union Wisconsin Room
Does Electroencephalograph (EEG) guided Functional Electrical Stimulation (FES) facilitate the recovery of a stroke?Stroke survivors’ main obstacle of recovery is restoration in the upper extremity motor function. Loss of motor function affects the ability to carry out activities of daily living and reduces independence. The effects of a stroke refrain intentional movements in the motor cortex from occurring. Brain-Computer Interface (BCI) could potentially enhance upper extremity motor rehabilitation for stroke survivors by stimulating the muscles with the FES system. FES helps in rehabilitation recovery with visual feedback and the intention of muscle movement “closing the loop”. This therapy utilizes brain plasticity to achieve the goals of rehabilitation. BCI utilizes EEG data to activate the FES device. This system recognizes event-related desynchronization or synchronization from the motor cortex, resulting in the ability to control the frequency of stimulation.Restoring the upper extremity motor functioning is crucial for the process of stroke recovery. Our aim is to discover if Functional Electrical Stimulation can increase stroke survivors’ fine and gross motor skills, focusing mainly on behavioral measures and utilizing brain plasticity. 40 stroke survivors, ages 21-85 will be recruited for this study. The participants will receive BCI-FES therapy for a duration of 4-6 weeks. Behavioral assessments will be administered before, during, and after interventions. The behavioral assessments include: Action Research Arm Test, Stroke Impact Scale, Barthel Index, etc. After waiting another 4 weeks, while the participants receive no therapy, we will then administer a final session of behavioral assessments. Repeated measures of ANOVA will be used to compare the results of the assessments.We expect to observe an increased recovery of general motor skills and overall function of the individual’s affected arm using EEG-BCI.
