A Novel Deep Learning Classifier and Genetic Algorithm based Feature Selection for Hybrid EEG-fNIRS Brain-Computer Interface

T. V. Padmavathy; M. Pravin Kumar; M. Shakunthala; M N Vimal Kumar; S. Saravanan

doi:10.14704/nq.2020.18.9.nq20224

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JOURNAL ARTICLE

A Novel Deep Learning Classifier and Genetic Algorithm based Feature Selection for Hybrid EEG-fNIRS Brain-Computer Interface

T. V. Padmavathy M. Pravin Kumar M. Shakunthala M N Vimal Kumar S. Saravanan

Year: 2020 Journal: NeuroQuantology Vol: 18 (9)Pages: 125-134 Publisher: NeuroQuantology

DOI: 10.14704/nq.2020.18.9.nq20224

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Keywords:

Brain–computer interface Computer science Artificial intelligence Electroencephalography Classifier (UML) Feature selection Pattern recognition (psychology) Machine learning Psychology Neuroscience

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

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