Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system

Research article (SN Applied Sciences, 2020) · cited 39× · AI/ML
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Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system

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Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-network-based-features-for-motor-imagery-eeg-signals-classification-in-braincomputer-interface-syst
MLA “Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-network-based-features-for-motor-imagery-eeg-signals-classification-in-braincomputer-interface-syst.
BibTeX @misc{4ortxyz_convolutional-neural-network-based-features-for-motor-imagery-eeg-signals-classification-in-braincomputer-interface-syst_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional neural network based features for motor imagery EEG signals classification in brain–computer interface system}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-network-based-features-for-motor-imagery-eeg-signals-classification-in-braincomputer-interface-syst}, note = {Accessed: 2026-05-24}}
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