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Real-time BCI platform used to assess performance when combining motor imagery and steady-state visual evoked potential signals

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BCI Multitasking Analysis

This repository contains the real-time software, and analysis and visualization scripts for studying multitasking using an EEG-based brain-computer interfaces (BCIs).

This study used a modified version of the real-time BCI platform described in:
📂 BCI Real-Time Neuroimaging Repository
📄 Science Robotics Paper


📄 Related Publication

Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms

B. J. Edelman et al., IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018

  • Investigates how well users can multitask during EEG-based BCI control.
  • Key contributions:
    • Developed a BCI framework for simultaneous sensorimotor rhythma nd SSVEP signal analysis.
    • Showed that task complexity affects BCI performance and user control.
    • Identified dual-task features that facilitate or hinder performance.

📄 Read the full paper

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Real-time BCI platform used to assess performance when combining motor imagery and steady-state visual evoked potential signals

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