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Objective Electroencephalogram (EEG) is a kind of method for clinical examination of brain diseases. A lot of factors affect the EEG results and the age is one of the factors cannot be ignored. This paper presents multiscale sign series entropy (MSSE) analysis method for beta wave of EEG signal analysis of different age stages. Sign way to handling time sequence may remove certain details of the information and reserve the interested parts. Methods We first analyze the sign series entropy (SSE) from four groups of the young and middle-aged beta wave of EEG data, including multiple angles data length, word length m and noise, and verify that the SSE can correctly distinguish the young and middle-aged beta wave of EEG. Then at multiple scales, we analyze noisy EEG and denoising EEG based on SSE. Results With the increase of the scale, the values of the SSE also increase, and the SSE of the youth are higher than that of middle-aged. Conclusions namely under the MSSE can effectively distinguish young and middle-aged beta wave of EEG, and in the influence of signal noise can also be detected in different ages beta wave of EEG.