Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics

The objective of this study was to investigate the feasibility of physiological metrics such as ECG-derived heart rate and EEG-derived cognitive workload and engagement as potential predictors of performance on different training tasks. An unsupervised approach based on self-organizing neural networ...

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Detalles Bibliográficos
Autores principales: Stikic, Maja, Berka, Chris, Levendowski, Daniel J., Rubio, Roberto F., Tan, Veasna, Korszen, Stephanie, Barba, Douglas, Wurzer, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220677/
https://www.ncbi.nlm.nih.gov/pubmed/25414629
http://dx.doi.org/10.3389/fnins.2014.00342

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220677/
https://www.ncbi.nlm.nih.gov/pubmed/25414629
http://dx.doi.org/10.3389/fnins.2014.00342

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