Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics

Research article (Computers in Biology and Medicine, 2017) · cited 32× · AI/ML
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Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics

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Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics. Retrieved May 24, 2026, from https://4ort.xyz/entity/noisy-eeg-signals-classification-based-on-entropy-metrics-performance-assessment-using-first-and-second-generation-stati
MLA “Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/noisy-eeg-signals-classification-based-on-entropy-metrics-performance-assessment-using-first-and-second-generation-stati.
BibTeX @misc{4ortxyz_noisy-eeg-signals-classification-based-on-entropy-metrics-performance-assessment-using-first-and-second-generation-stati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Noisy EEG signals classification based on entropy metrics. Performance assessment using first and second generation statistics}}, year = {2026}, url = {https://4ort.xyz/entity/noisy-eeg-signals-classification-based-on-entropy-metrics-performance-assessment-using-first-and-second-generation-stati}, note = {Accessed: 2026-05-24}}
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