EEG Based BCI for Upper Limb Rehabilitation in Stroke

Status unconfirmed · Not applicable

Conditions studied: Stroke Sequelae, Brain Ischemia

In brief

Biomedical and Engineering approaches form a key element to neurological rehabilitation of upper limbs. Brain Computer Interface (BCI) using Motor execution and Motor Imagery are known to aid motor recovery in stroke. The purpose of this study is to demonstrate that Noninvasive Sensorimotor Rhythm (SMR) based EEG based BCI using motor execution and Motor Imagery tasks can aid in rehabilitation of upper limb movements in chronic stroke. The project aims to explore an SMR-based BCI system that can exploit the sensorimotor rhythm voluntary modulation to play a virtual game as neurofeedback using motor executory tasks and imagined hand movements by stroke patients, who suffer from upper limb disability.

Key facts

Study ID
NCT04188132
Run by
University of Houston
People needed
10
Starts
2019-11-05
Expected to finish
2020-01-31
Last updated by the study team
2019-12-05

Who can join

Age: 21 and older, up to 75. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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