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Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression
Research article (Journal of Neural Engineering, 2020) · cited 89× · AI/ML
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression
Summary
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression is a scholarly article[1].
Key Facts
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/decoding-multiclass-motor-imagery-eeg-from-the-same-upper-limb-by-combining-riemannian-geometry-features-and-partial-lea
MLA“Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/decoding-multiclass-motor-imagery-eeg-from-the-same-upper-limb-by-combining-riemannian-geometry-features-and-partial-lea.
BibTeX@misc{4ortxyz_decoding-multiclass-motor-imagery-eeg-from-the-same-upper-limb-by-combining-riemannian-geometry-features-and-partial-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression}}, year = {2026}, url = {https://4ort.xyz/entity/decoding-multiclass-motor-imagery-eeg-from-the-same-upper-limb-by-combining-riemannian-geometry-features-and-partial-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression — https://4ort.xyz/entity/decoding-multiclass-motor-imagery-eeg-from-the-same-upper-limb-by-combining-riemannian-geometry-features-and-partial-lea (retrieved 2026-05-24)
