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Brain-computer interfaces patient preferences: a systematic review.

Jamie F M Brannigan¹, Kishan Liyanage², Hugo Layard Horsfall³

¹Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

Journal of Neural Engineering

|November 21, 2024

Summary

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This summary is machine-generated.

Patient preferences for brain-computer interfaces (BCIs) show a strong desire for accuracy, though current systems

Area of Science:

Neuroscience and Biomedical Engineering
Rehabilitation Technology
Human-Computer Interaction

Background:

Brain-computer interfaces (BCIs) offer promising solutions for restoring motor function and independence in individuals with motor impairments.
Existing BCI research often focuses on technological advancements, with limited exploration of patient-specific preferences across diverse etiologies.
Understanding patient priorities is crucial for developing user-centered BCI systems.

Conclusions:

Despite advanced BCI performance, reducing training and setup burdens is essential for improving usability and patient acceptance.
Tailored BCI configurations and personalized training regimens are necessary to meet the diverse needs of patients with different conditions and impairment severities.
Future BCI development should prioritize patient-centered design informed by a deep understanding of individual preferences and contextual factors.

Keywords:

brain–computer interface neurology paralysis patient preferences

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