Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer

Research article (Frontiers in Human Neuroscience, 2023) · cited 12× · AI/ML
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Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer

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Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer is a scholarly article[1].

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  • Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer. Retrieved May 24, 2026, from https://4ort.xyz/entity/motor-imagery-electroencephalogram-classification-algorithm-based-on-joint-features-in-the-spatial-and-frequency-domains
MLA “Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/motor-imagery-electroencephalogram-classification-algorithm-based-on-joint-features-in-the-spatial-and-frequency-domains.
BibTeX @misc{4ortxyz_motor-imagery-electroencephalogram-classification-algorithm-based-on-joint-features-in-the-spatial-and-frequency-domains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer}}, year = {2026}, url = {https://4ort.xyz/entity/motor-imagery-electroencephalogram-classification-algorithm-based-on-joint-features-in-the-spatial-and-frequency-domains}, note = {Accessed: 2026-05-24}}
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