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

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.

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Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/mhtc65808.2025.11086454
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

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

Javier M. Antelis, Joel C. Huegel, Luis Hernández, David Cruz‐Ortiz et al.
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EEG and Brain-Computer Interfaces
article

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

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

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.

Tecnológico de Monterrey (MX)
Openalex Percentile: Top 80%
EEG and Brain-Computer Interfaces
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A Hybrid Approach to Neuro-Rehabilitation: Validating an Integrated EEG-EMG/Robotic System for Wrist Therapyh — Javier M. Antelis, Joel C. Huegel, et al. · (2025) | TGRS Research Map | TGRS