Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/113618
Título: | Recent advances and current trends in brain-computer interface research and their applications | Autores/as: | Zabcikova, Martina Koudelkova, Zuzana Jasek, Roman Lorenzo Navarro, José Javier |
Clasificación UNESCO: | 3304 Tecnología de los ordenadores 32 Ciencias médicas |
Palabras clave: | Motor-Imagery Emotion Recognition Feature-Selection Neural-Networks Combining Eeg, et al. |
Fecha de publicación: | 2021 | Proyectos: | IGA/CebiaTech/2021/005 | Publicación seriada: | International Journal of Developmental Neuroscience | Resumen: | Brain-computer interface (BCI) provides direct communication between the brain and an external device. BCI systems have become a trendy field of research in recent years. These systems can be used in a variety of applications to help both disabled and healthy people. Concerning significant BCI progress, we may assume that these systems are not very far from real-world applications. This review has taken into account current trends in BCI research. In this survey, 100 most cited articles from the WOS database were selected over the last 4 years. This survey is divided into several sectors. These sectors are Medicine, Communication and Control, Entertainment, and Other BCI applications. The application area, recording method, signal acquisition types, and countries of origin have been identified in each article. This survey provides an overview of the BCI articles published from 2016 to 2020 and their current trends and advances in different application areas. | URI: | http://hdl.handle.net/10553/113618 | ISSN: | 0736-5748 | DOI: | 10.1002/jdn.10166 | Fuente: | International Journal Of Developmental Neuroscience[ISSN 0736-5748], v. 82(2), p. 107-123 |
Colección: | Artículos |
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