Mental Fatigue Degree Recognition Based on Relative Band Power and Fuzzy Entropy of EEG
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- Jianfeng Wu & Lingyan Zhang & Hongchun Yang & Chunfu Lu & Lu Jiang & Yuyun Chen, 2022. "The Effect of Music Tempo on Fatigue Perception at Different Exercise Intensities," IJERPH, MDPI, vol. 19(7), pages 1-18, March.
- Azarnoosh, Mahdi & Motie Nasrabadi, Ali & Mohammadi, Mohammad Reza & Firoozabadi, Mohammad, 2011. "Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1054-1062.
- Eglė Butkevičiūtė & Aleksėjus Michalkovič & Liepa Bikulčienė, 2022. "ECG Signal Features Classification for the Mental Fatigue Recognition," Mathematics, MDPI, vol. 10(18), pages 1-18, September.
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Keywords
mental fatigue; EEG; N-back task; CEEMD; ICA; feature extraction; ensemble learning; XGBoost;All these keywords.
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