Clinical Trials Directory

Trials / Completed

CompletedNCT02325947

Efficacy of Hand Exoskeleton Controlled by BCI in Post Stroke Patients

A Multicentre Randomized Single Blind Placebo Controlled Study to Assess Efficacy of Hand Exoskeleton Controlled by Motor Imagery Based BCI for Post Stroke Patients Movement Rehabilitation

Status
Completed
Phase
N/A
Study type
Interventional
Enrollment
75 (actual)
Sponsor
Russian Academy of Medical Sciences · Academic / Other
Sex
All
Age
18 Years – 80 Years
Healthy volunteers
Not accepted

Summary

The purpose of this study is to assess the efficacy of non-invasive BCI-exoskeleton technology based on EEG patterns recognition matching to motor imagery in post-stroke patients with hand paresis.

Detailed description

The BCI training is based on EEG activity patterns recording during hand motor imagery. A subject sit comfortably 1m from a computer screen which presents visual instructions during the session. The robotic exoskeleton is fixed to the paretic hand. Subject visually fixate on a circle presented in the center of the screen and receive instructions from three surrounding rhomboidal arrows. Subject is given three commands instructing them to relax or imagine slow hand opening movement with the right or left hand. The "Relax" command means that the subject have to sit still and look at the center of the screen. Commands are presented randomly, each of 10 sec duration. A visual cue provides the subject with feedback regarding the mental task recognition: the central circle turned green if the classifier recognizes the task in agreement with the given command, or remains white if the signal is not recognized. In addition to visual feedback the subject is provided with kinesthetic feedback: the exoskeleton is opening the hand when the classifier recognizes the imagery of paretic hand movement. The EEG is registered with 30 electrodes distributed over the head in accordance with the standard international 10-20 system. EEG signals are filtered from 5-30Hz. A Bayesian approach for EEG pattern classifying is used in the system. The activity sources most relevant for BCI functioning will be identified using an independent component analysis (ICA). Classification accuracy will by measured with Cohen's kappa (Kohavi and Provost, 1998). The procedure may consist from up to three sessions, the duration of 1 session is 10 min, there are 5 min time brake between session and total duration of procedure is up to 45 min. The number of procedures - at least 10. The maximal interval between procedures is 3 days.

Conditions

Interventions

TypeNameDescription
DEVICEhand exoskeleton, brain-computer interface (BCI),Hand exoskeleton, brain-computer interface (BCI) 10 sessions of 45-minutes
DEVICEhand exoskeleton, sham BCIHand exoskeleton, sham BCI 10 sessions of 45-minutes (BCI imitation)

Timeline

Start date
2015-01-01
Primary completion
2017-09-01
Completion
2017-09-01
First posted
2014-12-25
Last updated
2017-09-29

Locations

1 site across 1 country: Russia

Source: ClinicalTrials.gov record NCT02325947. Inclusion in this directory is not an endorsement.