Intelligent EEG Artifact Removal in Motor ImageryBCI: Synergizing FCIF,FCFBCSP, and Modified DNN with SNR, PSD, and Spectral Coherence Evaluation
Author:
Affiliation:
1. SR University,Dept. of ECE,Warangal,Telangana,India,506371
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616497.pdf?arnumber=10616497
Reference19 articles.
1. Ocular artifact elimination from electroencephalography signals: A systematic review
2. EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions
3. Classification Algorithm for Electroencephalogram-based Motor Imagery Using Hybrid Neural Network with Spatio-temporal Convolution and Multi-head Attention Mechanism
4. An improved version of local activities estimation to enhance motor imagery classification
5. EEG based Motor Imagery BCI using Four Class Iterative Filtering & Four Class Filter Bank Common Spatial Pattern
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