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  4. Brain–Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?

Brain–Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?

Neurorehabilitation and Neural Repair, 2022 · DOI: 10.1177/15459683221138751 · Published: December 1, 2022

Assistive TechnologyNeurologyNeurorehabilitation

Simple Explanation

Brain-computer interface-controlled exoskeletons (B/NEs) are emerging as promising tools for neurorehabilitation, especially after stroke or spinal cord injury. These devices translate brain activity into control signals for wearable actuators, enabling movement even with impaired motor function. Repeated use of B/NEs over several weeks has been shown to potentially trigger motor recovery, even in cases of chronic paralysis. The development of lightweight robotic actuators and reliable brain control strategies are paving the way for B/NEs to enter clinical care. The successful integration of B/NEs into clinical practice relies on early adoption by research-oriented therapists and clinicians, who can provide valuable data and feedback to manufacturers, ultimately improving the devices' robustness and applicability.

Study Duration
Not specified
Participants
40 patients
Evidence Level
Review Article

Key Findings

  • 1
    Brain/neural exoskeletons (B/NEs) enable the execution of movements despite impaired motor function by converting brain/neural activity into control signals of wearable actuators.
  • 2
    Repeated use of B/NEs can trigger motor recovery, even in chronic paralysis.
  • 3
    Efficacy of BCIs depended on the type of sensory feedback: somatosensory and proprioceptive feedback, for example, administered via a robotic orthosis, was found to be superior in facilitating neural reorganization in the brain when compared to visual presentation of hand movements only.

Research Summary

Brain–computer interface-controlled exoskeletons promise new treatment strategies for neurorehabilitation after stroke or spinal cord injury. Recent development of lightweight robotic actuators, comfortable and portable real-world brain recordings, as well as reliable brain/neural control strategies have paved the way for B/NEs to enter clinical care. Data collected by early adopters will further elucidate the underlying mechanisms of B/NE-triggered motor recovery and play a key role in increasing efficacy of personalized treatment strategies.

Practical Implications

Clinical Translation

B/NEs are technically ready for broader clinical use, pending adoption by research-oriented physiotherapists and clinicians.

Personalized Treatment Strategies

Data from early adopters will help refine personalized treatment strategies and increase the efficacy of B/NEs.

Device Improvement

Feedback from early adopters will be crucial for manufacturers to improve the robustness, applicability, and integration of B/NEs into therapy plans.

Study Limitations

  • 1
    Accuracy and reliability of non-invasive BCI systems, typically ranging between 65% and 80%, were too low for assistive use
  • 2
    Effect size of BCI training applied over several weeks on motor recovery was not sufficiently high and inconsistent across studies
  • 3
    Daily BCI training can be very tiring and requires high levels of motivation

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