Motor imaginary tasks-based EEG signals classification using continuous wavelet transform and LSTM network

Author:

Ananthi A.,Subathra M.S.P.,George S. Thomas,Sairamya N.J.,Prasanna J.,Manimegalai P.

Publisher

Elsevier

Reference60 articles.

1. EEG-based brain-computer interfaces using motor-imagery: techniques and challenges;Padfield;Sensors,2019

2. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters;Pfurtscheller;IEEE Transactions on Rehabilitation Engineering,1998

3. Feature extraction and classification of EEG signal using neural network based techniques;Nandish;International Journal of Engineering and Innovative Technology (IJEIT),2012

4. Augmented complex common spatial patterns for classification of noncircular EEG from motor imagery tasks;Park;IEEE Transactions on Neural Systems and Rehabilitation Engineering,2013

5. Analysis of relation between motor activity and imaginary EEG records;Alpturk,2021

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