Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks

Research article (Bioengineering, 2022) · cited 35× · AI/ML
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Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks

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Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks. Retrieved May 24, 2026, from https://4ort.xyz/entity/electroencephalogram-based-motor-imagery-signals-classification-using-a-multi-branch-convolutional-neural-network-model-
MLA “Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/electroencephalogram-based-motor-imagery-signals-classification-using-a-multi-branch-convolutional-neural-network-model-.
BibTeX @misc{4ortxyz_electroencephalogram-based-motor-imagery-signals-classification-using-a-multi-branch-convolutional-neural-network-model-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks}}, year = {2026}, url = {https://4ort.xyz/entity/electroencephalogram-based-motor-imagery-signals-classification-using-a-multi-branch-convolutional-neural-network-model-}, note = {Accessed: 2026-05-24}}
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