Deep Neural Network for Visual Stimulus-Based Reaction Time Estimation Using the Periodogram of Single-Trial EEG

Deep Neural Network for Visual Stimulus-Based Reaction Time Estimation Using the Periodogram of Single-Trial EEG

Multiplexed deep neural networks (DNN) have engendered high-performance predictive models gaining popularity for decoding brain waves, extensively collected in the form of electroencephalogram (EEG) signals. In this paper, to the best of our knowledge, we introduce a first-ever DNN-based generalized...

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Bibliographic Details
Main Authors: Mohammad Samin Nur Chowdhury, Arindam Dutta, Matthew Kyle Robison, Chris Blais, Gene Arnold Brewer, Daniel Wesley Bliss
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
EEG signal processing
deep learning
Convolutional Neural Network (CNN)
Fully Connected Neural Network (FCNN)
periodogram
brain–computer interface
Online Access:https://www.mdpi.com/1424-8220/20/21/6090

Internet

https://www.mdpi.com/1424-8220/20/21/6090

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