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Brain Training System Using Electroencephalography (EEG) for Neurorehabilitation of Hand Function After Stroke

NCT02323074 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 45

Last updated 2016-07-06

No results posted yet for this study

Summary

In this project we will design a control algorithm to identify the focalized motor-related clusters for hand function on each stroke patient. A real-time feedback will control the robotic hand when motor imagery is successfully identified. Finally, the focalized BCI-robot training will be compared in a randomized controlled trial to evaluate the training effectiveness and changes in the EEG patterns.

Conditions

Interventions

PROCEDURE

Brain Computer Interface

Sponsors & Collaborators

  • Chinese University of Hong Kong

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-01-31
Primary Completion
2017-12-31
Completion
2017-12-31

Countries

  • Hong Kong

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02323074 on ClinicalTrials.gov