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Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information
Research article (Australasian Physical & Engineering Sciences in Medicine, 2018) · cited 21× · AI/ML
Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information
Summary
Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information is a scholarly article[1].
Key Facts
Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-class-eeg-classification-of-motor-imagery-signal-by-finding-optimal-time-segments-and-features-using-snr-based-mut
MLA“Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-class-eeg-classification-of-motor-imagery-signal-by-finding-optimal-time-segments-and-features-using-snr-based-mut.
BibTeX@misc{4ortxyz_multi-class-eeg-classification-of-motor-imagery-signal-by-finding-optimal-time-segments-and-features-using-snr-based-mut_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information}}, year = {2026}, url = {https://4ort.xyz/entity/multi-class-eeg-classification-of-motor-imagery-signal-by-finding-optimal-time-segments-and-features-using-snr-based-mut}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information — https://4ort.xyz/entity/multi-class-eeg-classification-of-motor-imagery-signal-by-finding-optimal-time-segments-and-features-using-snr-based-mut (retrieved 2026-05-24)
