Deep learning networks based decision fusion model of EEG and fNIRS for classification of cognitive tasks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-09986-4.pdf
Reference40 articles.
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3. Appriou A, Cichocki A and Lotte F (2018) Towards robust neuroadaptive HCI: exploring modern machine learning methods to estimate mental workload from EEG signals. In: ACM CHI conference on human factors in computing systems. https://doi.org/10.1145/3170427.3188617
4. Bagheri M, Power SD (2022) Simultaneous classification of both mental workload and stress level suitable for an online passive brain-computer interface. Sensors 22(2):535
5. Cao J, Garro EM, Zhao Y (2022) EEG/fNIRS based workload classification using functional brain connectivity and machine learning. Sensors. https://doi.org/10.3390/s22197623
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