Artifact removal and motor imagery classification in EEG using advanced algorithms and modified DNN
This paper presents an advanced approach for EEG artifact removal and motor imagery classification using a combination of Four Class Iterative Filtering and Filter Bank Common Spatial Pattern Algorithm with a Modified Deep Neural Network (DNN) classifier. The research aims to enhance the accuracy an...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-04-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024032298 |