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Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion.

, , , , and . Future Gener. Comput. Syst., (2019)

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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review., , , , , , , and . Neural Comput. Appl., 35 (20): 14681-14722 (July 2023)A zero-watermarking algorithm for privacy protection in biomedical signals., , , , and . Future Gener. Comput. Syst., (2018)Electroencephalography-based motor imagery classification using temporal convolutional network fusion., , , , , , , , and . Biomed. Signal Process. Control., (2021)Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition., , , , , , , , , and 4 other author(s). Sensors, 22 (12): 4558 (2022)Multilevel Weighted Feature Fusion Using Convolutional Neural Networks for EEG Motor Imagery Classification., , , , and . IEEE Access, (2019)Dynamic Convolution With Multilevel Attention for EEG-Based Motor Imagery Decoding., , and . IEEE Internet Things J., 10 (21): 18579-18588 (November 2023)Voice Pathology Detection Using Multiresolution Technique., , , , and . EMS, page 185-189. IEEE, (2014)Deep Learning for EEG Motor Imagery-Based Cognitive Healthcare., , , , and . Connected Health in Smart Cities, Springer, (2020)Approximated Nonlinear Predictive Control for Trajectory Tracking of a Wheeled Mobile Robot., , and . RVSP, page 296-299. IEEE Computer Society, (2011)KSU Speech Database: Text Selection, Recording and Verification., , , , and . EMS, page 237-242. IEEE, (2013)