EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning

There is high demand for techniques to estimate human mental workload during some activities for productivity enhancement or accident prevention. Most studies focus on a single physiological sensing modality and use univariate methods to analyse multi-channel electroencephalography (EEG) data. This...

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Detalles Bibliográficos
Autores principales: Cao, Jun, Garro, Enara Martin, Zhao, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571712/
https://www.ncbi.nlm.nih.gov/pubmed/36236725
http://dx.doi.org/10.3390/s22197623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571712/
https://www.ncbi.nlm.nih.gov/pubmed/36236725
http://dx.doi.org/10.3390/s22197623

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