This paper presents the Multiscale Mutual Mode Entropy algorithm to quantify the coupling degree between two simultaneous acquisitions of EEG time series on different scales. It discusses the young and middle-aged people's characteristics of brain electrical signal based on the algorithm. The results show that they both have the similar change trend of entropy value and middle-aged people have higher entropy value than the young from 6th scale gradually. Mutual Mode Entropy also has good noise resistance in the process of scale change and can distinguish the coupling difference of EEG between the two types of people.
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