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A Hybrid Approach to Neuro-Rehabilitation: Validating an Integrated EEG-EMG/Robotic System for Wrist Therapyh

Jorge German Perez Blanco, Héctor Lizárraga Torreblanca, Paula Rodríguez-Alonso, David Cruz‐Ortiz, Mariana Felisa Ballesteros Escamilla, Joel C. Huegel, Luis Hernández, Javier M. Antelis

Year
2025
Citations
1

Abstract

This study validates our proposed neurorehabilitation system designed to combine robotics with other neural pathway rehabilitation techniques for wrist treatment. The system integrates the BiomechWrist, a 3-degree-of-freedom wrist rehabilitation exoskeleton, with an EEG and EMG biosignal acquisition subsystem and a virtual interface for performing motor tasks. Experimental testing validates the system’s reliability in recording brain and muscle activity during motor tasks, with visual evoked potentials (VEPs) consistently detected, and EMG signals correlated with motor encoder data in over 85% of the trials. The evidence presented highlights the system’s potential to improve neurorehabilitation through personalized therapies, overcoming some limitations of purely robotic systems and contributing to the advancement of rehabilitation research and clinical applications.

Keywords

Computer scienceWristElectroencephalographyRehabilitationRobotic handPhysical medicine and rehabilitationArtificial intelligenceNeurorehabilitationRobotPsychology

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