EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review

Area of Science:

• Neuroscience and Biomedical Engineering
• Rehabilitation Technology

Background:

• Electroencephalography (EEG) signals are crucial for developing assistive rehabilitation devices.
• EEG-based control of assistive devices is an emerging field with significant research interest.
• A systematic review is needed to summarize existing studies and guide future research.

Purpose of the Study:

• To systematically review and synthesize research on EEG-based control for assistive rehabilitation devices published between 2011 and 2018.
• To report on experimental outcomes and the current state-of-the-art in EEG-based assistive technology.
• To identify knowledge gaps and propose future research directions.

Main Methods:

• Systematic literature search and review of studies from 2011-2018.
• Evaluation and synthesis of research on the accuracy and value of EEG-based control techniques.
• Analysis of experimental outcomes and current research trends.

Main Results:

• Summarized and evaluated the accuracy and value of existing EEG-based control research.
• Provided a comprehensive overview of experimental outcomes in the field.
• Identified key areas for further investigation and development.

Conclusions:

• The systematic review provides a comprehensive summary of EEG-based control for assistive rehabilitation devices.
• It highlights the current state of research and offers evidence-based insights.
• The study identifies critical knowledge gaps and recommends future research avenues.