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Mental fatigue states in different experiments and in different conditions were studied with nonlinear dynamics. EEG signals registered from Fp1 and Fp2 under different mental fatigue states were recorded and analyzed using Kolmogorov entropy (KE) and Kolmogorov complexity (KC) to investigate whether mental fatigue could be assessed using this measures. It was shown the value of KE or KC is strongly...
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