A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features

Research article (IEEE Transactions on Affective Computing, 2018) · cited 58× · AI/ML
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A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features

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A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-classification-strategy-to-distinguish-five-levels-of-pain-using-the-eeg-signal-features
MLA “A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-classification-strategy-to-distinguish-five-levels-of-pain-using-the-eeg-signal-features.
BibTeX @misc{4ortxyz_a-novel-classification-strategy-to-distinguish-five-levels-of-pain-using-the-eeg-signal-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-classification-strategy-to-distinguish-five-levels-of-pain-using-the-eeg-signal-features}, note = {Accessed: 2026-05-24}}
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