Subject-Specific Cognitive Workload Classification Using EEG-Based Functional Connectivity and Deep Learning

Cognitive workload is a crucial factor in tasks involving dynamic decision-making and other real-time and high-risk situations. Neuroimaging techniques have long been used for estimating cognitive workload. Given the portability, cost-effectiveness and high time-resolution of EEG as compared to fMRI...

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Detalles Bibliográficos
Autores principales: Gupta, Anmol, Siddhad, Gourav, Pandey, Vishal, Roy, Partha Pratim, Kim, Byung-Gyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541420/
https://www.ncbi.nlm.nih.gov/pubmed/34695921
http://dx.doi.org/10.3390/s21206710

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541420/
https://www.ncbi.nlm.nih.gov/pubmed/34695921
http://dx.doi.org/10.3390/s21206710

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