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  4. Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton

iScience, 2023 · DOI: https://doi.org/10.1016/j.isci.2023.106675 · Published: May 19, 2023

Assistive TechnologyNeurology

Simple Explanation

This study investigates using a brain-computer interface (BCI) controlled by imagining movements to operate a lower limb exoskeleton, which can help people recover motor skills after a neural injury. The BCI system was tested on ten healthy individuals and two patients with spinal cord injuries. To make training faster, five of the healthy subjects used a virtual reality (VR) system. The results from the VR group were compared to the other five healthy subjects that did not use VR. The results suggest that VR training did not reduce the BCI's effectiveness and might have even improved it in some areas. The patients gave positive feedback and were able to complete the experiments without excessive physical or mental strain.

Study Duration
5 sessions scheduled in 5 different days
Participants
10 able-bodied subjects and 2 patients with spinal cord injuries
Evidence Level
Not specified

Key Findings

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    VR training did not reduce the BCI's effectiveness and may have improved it in some cases.
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    Patients with SCI gave positive feedback about the system and were able to handle experimental sessions without high levels of physical and mental exertion.
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    Motion model (controlling continuous walking or stopping) demonstrated superior performance compared to Static model.

Research Summary

The study explores using a motor imagery (MI)-based brain-computer interface (BCI) to control a lower limb exoskeleton for motor recovery after neural injury, evaluated in able-bodied subjects and patients with spinal cord injuries. VR training to accelerate BCI training was tested, showing that shorter VR training did not reduce BCI effectiveness and sometimes improved it. Patients provided positive feedback and handled sessions without high exertion, suggesting promise for BCI in rehabilitation programs and indicating the need for further research on MI-based BCI systems.

Practical Implications

VR Training Enhancement

VR training can be used to enhance BCI training, potentially shortening the training time and reducing physical exertion for users.

Rehabilitation Potential

The BCI system shows promise for inclusion in rehabilitation programs for patients with neural injuries, aiding in motor recovery.

Real-Time Control

The dual-state machine control BCI provides complete and unrestricted control for patients to initiate, maintain, stop, and remain stationary during gait, making it a practical approach to real-time exoskeleton control.

Study Limitations

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