Sign Series Entroy And JSD Analysis Based On Electroencephalogram Rhythm Signal

Electroencephalogram(EEG)records the brain activity of potential changes,it is the overall responses of electric signal of brain cell physiology activity in the cerebral cortex.People of different ages,personalities,occupations,and health conditions produce different EEG signals.EEG signal contains a large number of information of physiological or pathological state.Through the analysis of EEG signals in different physiological states,it can provide some reference value for the clinical pathological and physiological analysis of EEG signals.This paper makes an analysis from three aspects.First: Analysis of EEG signals on young and middle-aged.In this paper,multiscale sign series entropy(MSSE)is used to analyze the EEG rhythm signal of different ages.Through the analysis,this algorithm can effectively distinguish two different age stages of young and middle-aged alpha EEG rhythm signals,and it also can be proved that noise will not affect the algorithm.But the results of the other three EEG rhythm signals are not obvious.It can play an important role in the clinical analysis and diagnosis of EEG signal.Second: The statistical complexity analysis method based on JSD.The results showed that the complexity of the alpha EEG rhythm signal in normal subjects was more complex than the epilepsy patients,and the complexity of the two kinds of alpha rhythm signals and beta rhythm signals were significantly different.But the results of the other two EEG rhythm signals are not obvious.Third: The statistical complexity analysis method based on LMCD.The results showed that the complexity of the alpha EEG rhythm signal in normal subjects was more complex than the epilepsy patients,and the complexity of the two kinds of alpha rhythm signals were significantly different.But the results of the other three EEG rhythm signals are not obvious.Through the study of this paper,the multiscale sign series entropy(MSSE)algorithm can effectively distinguish the alpha EEG rhythm signal of different physiological states.And obtaining a significant difference in the complexity of the alpha EEG rhythm signal and alpha EEG rhythm signal between normal and epileptic patients.And by comparing the two kinds of complexity calculation method,it comes out that the statistical complexity analysis method based on LMCD is more efficient and better.It provides important basis for clinical diagnosis.