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


Phase N/A Results N/A

Trial Description

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.



  • Brain Computer Interface Procedure
    ARM 1: Kind: Experimental
    Label: fBCI-robot
    Description: focalized BCI-robot hand training
    ARM 2: Kind: Experimental
    Label: gBCI-robot
    Description: generalized BCI-robot hand training
    ARM 3: Kind: Experimental
    Label: sham-BCI
    Description: Sham BCI

Trial Design

  • Allocation: Randomized
  • Masking: Double Blind (Subject, Outcomes Assessor)
  • Purpose: Treatment
  • Endpoint: Efficacy Study
  • Intervention: Parallel Assignment


Type Measure Time Frame Safety Issue
Primary FMA-UE 3-month followup No
Secondary ARAT 3-month followup No
Secondary MAS 3-month followup No