Temporal Convolutional Learning: A New Sequence-based Structure to Promote the Performance of Convolutional Neural Networks in Recognizing P300 Signals

Temporal Convolutional Learning: A New Sequence-based Structure to Promote the Performance of Convolutional Neural Networks in Recognizing P300 Signals

Distinguishing P300 signals from other components of the EEG is one of the mostchallenging issues in Brain Computer Interface (BCI) applications, and machine learningmethods have vastly been utilized as effective tools to perform such separation. Althoughin recent years deep neural networks have sig...

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Bibliographic Details
Main Authors: Mahnaz Mardi, Mohamad Keyvanpour, Seyed Vahab Shojaedini
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2021-01-01
Series:Journal of Health Management & Informatics
Subjects:
eeg signals
p300
convolutional neural networks
temporal convolutional networks
deep learning
brain-computer interface
Online Access:https://jhmi.sums.ac.ir/article_47605_e60ae94ddde0a8fcba5421503dc172b0.pdf

Internet

https://jhmi.sums.ac.ir/article_47605_e60ae94ddde0a8fcba5421503dc172b0.pdf

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