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

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

EEG-based Brain-Computer Interfaces (BCIs) have gained significant attention in rehabilitation due to their non-invasive, accessible ability to capture brain activity and restore neurological functions in patients with conditions such as stroke and spinal cord injuries. This study offers a comprehen...

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Bibliographic Details
Main Authors:	Ana Sophia Angulo Medina, Maria Isabel Aguilar Bonilla, Ingrid Daniela Rodríguez Giraldo, John Fernando Montenegro Palacios, Danilo Andrés Cáceres Gutiérrez, Yamil Liscano
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Sensors
Subjects:	electroencephalography (EEG) Brain-Computer Interface (BCI) rehabilitation cognitive rehabilitation motor rehabilitation neurorehabilitation
Online Access:	https://www.mdpi.com/1424-8220/24/22/7125
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