Monitoring level of hypnosis using stationary wavelet transform and singular value decomposition entropy with feedforward neural network

HIGHLIGHTS

SUMMARY

Previously, many studies proposed LoH systems that have used linear analysis for feature extraction of EEG such as the relative power in the frequency bands (Delta, Theta, Alpha, Beta, and Gamma) of the signal and the beta ratio. Similarly, some of the previously proposed LoH systems were based solely upon the fractal dimension analysis of EEG signals, In the previous studies -[35], although the LoH classification algorithms have predicted the LoH state very accurately, this still does not solve the problem for the LoH indexes which are on the borderline of the LoH states . . .

 



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