Miner Fatigue Detection from Electroencephalogram-Based Relative Power Spectral Topography Using Convolutional Neural Network

Fatigue of miners is caused by intensive workloads, long working hours, and shift-work schedules. It is one of the major factors increasing the risk of safety problems and work mistakes. Examining the detection of miner fatigue is important because it can potentially prevent work accidents and impro...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Lili, Li, Jizu, Feng, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675395/
https://www.ncbi.nlm.nih.gov/pubmed/38005443
http://dx.doi.org/10.3390/s23229055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675395/
https://www.ncbi.nlm.nih.gov/pubmed/38005443
http://dx.doi.org/10.3390/s23229055

Ejemplares similares