Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing

Research article (IEEE Access, 2019) · cited 17× · AI/ML
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Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing

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Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/fatigue-eeg-feature-extraction-based-on-tasks-with-different-physiological-states-for-ubiquitous-edge-computing
MLA “Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fatigue-eeg-feature-extraction-based-on-tasks-with-different-physiological-states-for-ubiquitous-edge-computing.
BibTeX @misc{4ortxyz_fatigue-eeg-feature-extraction-based-on-tasks-with-different-physiological-states-for-ubiquitous-edge-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fatigue EEG Feature Extraction Based on Tasks With Different Physiological States for Ubiquitous Edge Computing}}, year = {2026}, url = {https://4ort.xyz/entity/fatigue-eeg-feature-extraction-based-on-tasks-with-different-physiological-states-for-ubiquitous-edge-computing}, note = {Accessed: 2026-05-24}}
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