Enhancing Classification Performance of fNIRS-BCI by Identifying Cortically Active Channels Using the z-Score Method

A state-of-the-art brain–computer interface (BCI) system includes brain signal acquisition, noise removal, channel selection, feature extraction, classification, and an application interface. In functional near-infrared spectroscopy-based BCI (fNIRS-BCI) channel selection may enhance classification...

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Detalles Bibliográficos
Autores principales: Nazeer, Hammad, Naseer, Noman, Mehboob, Aakif, Khan, Muhammad Jawad, Khan, Rayyan Azam, Khan, Umar Shahbaz, Ayaz, Yasar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730208/
https://www.ncbi.nlm.nih.gov/pubmed/33297516
http://dx.doi.org/10.3390/s20236995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7730208/
https://www.ncbi.nlm.nih.gov/pubmed/33297516
http://dx.doi.org/10.3390/s20236995

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