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Integrating conventional rehabilitation methods with robotics has led to devices that enhance recovery by supporting finger movement and promoting neural pathway formation. This project leverages EEG signals to directly control robotic appendages, eliminating the need for external control. By using EEG-detected brain signals to drive movement, individuals can see their fingers move in response to their thoughts, enhancing neuroplasticity and recovery. Unlike visual-only feedback from 3D or VR applications, this method provides real movement, similar to Mirror Therapy, but with greater impact. The device's control system processes EEG signals through an ERP pipeline, capturing motor actuation potentials.

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Mental Command-Driven Exoskeletons: Integrating EEG and ERP for Personalized Stroke Rehabilitation

  • 章节

  • 发表日期：

    2025年

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  • Husam A. Neamah,
  • Rayan Kazi,
  • Suliman Abdulmalek,
  • Hothefa Shaker Jassim,
  • Zaid Ameen Abduljabbar

摘要

Integrating conventional rehabilitation methods with robotics has led to devices that enhance recovery by supporting finger movement and promoting neural pathway formation. This project leverages EEG signals to directly control robotic appendages, eliminating the need for external control. By using EEG-detected brain signals to drive movement, individuals can see their fingers move in response to their thoughts, enhancing neuroplasticity and recovery. Unlike visual-only feedback from 3D or VR applications, this method provides real movement, similar to Mirror Therapy, but with greater impact. The device's control system processes EEG signals through an ERP pipeline, capturing motor actuation potentials.