Complexity analysis of electroencephalogram signal based on Jensen-Shannon divergence

Abstract

In this paper, complexity measure based on Jensen-Shannon Divergence was used to compute statistical complexity of the electroencephalogram signals, which include the electroencephalogram of younger and elder subjects from Nanjing General Hospital of Nanjing Military Command. The results show that two groups of signals have different statistical complexity measures. The electroencephalogram of elder subjects has the higher statistical complexity. The independent samples T test indicated that above-mentioned analysis could disclose significant differences among these two signals' complexity. It is demonstrated that statistical complexity based on Jensen-Shannon Divergence could effectively distinguish the electroencephalogram in 2 various age groups.