Jun 6, 2017 · In this paper the use of a novel feature extraction method oriented to convolutional neural networks (CNN) is discussed in order to solve four-class motor ...
In this paper the use of a novel feature extraction method oriented to convolutional neural networks (CNN) is discussed in order to solve four-class motor ...
May 12, 2017 · In this paper the use of a novel feature extraction method oriented to convolutional neural networks (CNN) is discussed in order to solve ...
In this paper, a novel shallow double-branch convolutional neural network (DSCNN) is proposed for four-class motor imagery classification. The proposed CNN ...
"Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem" by Tomas Uktveris and Vacius Jusas.
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Feb 9, 2023 · On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification. In ...
This research proposed a densely connected CNN model to decode EEG signals based on the motor imagery.
A novel approach which combines the technique of scout EEG source imaging (ESI) with convolutional neural network (CNN) for the classification of motor imagery ...
Deep CNN‐based classification of motor imagery tasks from EEG ...
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May 22, 2023 · Application of convolutional neural networks to four-class motor imagery classification problem. Inform Technol Contr. 2017; 46(2):260-273 ...
Jul 22, 2022 · Our results showed that the CNN model improved the classification accuracy for all subjects within the range of 2.37 to 28.28%, but more ...