Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification

Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification

BACKGROUND. Mental task identification using electroencephalography (EEG) signals is required for patients with limited or no motor movements. A subject-independent mental task classification framework can be applied to identify the mental task of a subject with no available training statistics. Dee...

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Bibliographic Details
Main Authors: Farheen Siddiqui, Awwab Mohammad, M. Afshar Alam, Sameena Naaz, Parul Agarwal, Shahab Saquib Sohail, Dag Øivind Madsen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Diagnostics
Subjects:
electroencephalography
deep neural network
principal component analysis
mental task
feature extraction
Online Access:https://www.mdpi.com/2075-4418/13/4/640

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