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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
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02325947
Acronym
iMove
Enrollment
75
Registered
2014-12-25
Start date
2015-01-31
Completion date
2017-09-30
Last updated
2017-09-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Poststroke/CVA Paresis

Keywords

Post stroke hand paresis brain injury

Brief 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.

Interventions

DEVICEhand exoskeleton, brain-computer interface (BCI),

Hand exoskeleton, brain-computer interface (BCI) 10 sessions of 45-minutes

DEVICEhand exoskeleton, sham BCI

Hand exoskeleton, sham BCI 10 sessions of 45-minutes (BCI imitation)

Sponsors

Pirogov Russian National Research Medical University
CollaboratorOTHER
Russian Academy of Medical Sciences
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Signed informed consent * Medical history of primary acute cerebrovascular event (ischemic or hemorrhagic stroke) at least 4 weeks before screening * focal stroke located in a hemisphere * post stroke hand paresis (mild to plegia according to Medical Research Council (MRC) Scale for Muscle Strength)

Exclusion criteria

* Montreal Cognitive Assessment (MoCA) scale \< 22 * Left handedness * Sensory aphasia * Severe impairment of vision * Modified Ashworth Scale (MAS) ≥ 4

Design outcomes

Primary

MeasureTime frameDescription
Change from Baseline in hand paresis level and hand muscle spasticityWeek 2ARAT; Fugl-Meyer, Modified Ashworth scale

Secondary

MeasureTime frameDescription
Long-term changes from Baseline in hand paresis level and hand muscle spasticityweek 4, week 12, week 24ARAT; Fugl-Meyer, Modified Ashworth scale

Countries

Russia

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026