Abstract
The life activities of the human body are closely related to age, and the life process is constantly associated with the entropy change. In this paper, multivariate symbolic transfer entropy algorithm was proposed based on traditional symbolic transfer entropy, then we also adopted the dynamic adaptive method to symbolize the time series. This algorithm was used to study the relationship between multivariate symbolic transfer entropy and age. Experiments showed that the value of multivariate symbolic transfer entropy of middle-aged man is greater than that of the young. The hypothesis test can prove that the multivariate symbolic transfer entropy shows a significant difference in age. Thus, multivariate symbolic transfer entropy algorithm can provide a new method for the study of other physiological signals.
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