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Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)
Medicine and HealthSensors

Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023)

A. S. A. Medina, M. I. A. Bonilla, et al.

EEG-based BCIs are reshaping rehabilitation — this bibliometric study (2013–2023) maps global publication trends, highlights motor and sensory rehabilitation hotspots, notes rising AI/machine-learning integration, and flags challenges like system inefficiencies and slow learning curves. Research conducted by Ana Sophia Angulo Medina, Maria Isabel Aguilar Bonilla, Ingrid Daniela Rodríguez Giraldo, John Fernando Montenegro Palacios, Danilo Andrés Cáceres Gutiérrez, and Yamil Liscano.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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