Reshape scale method: A novel multi scale entropic analysis approach

The Reshape Scale (RS) method was introduced in this article as a novel approach to perform multi scale transition of sample entropy. This method was able to quantify the orderliness in the signal by determining the distance over which the subsequent data points can remain affiliated to one another. Entropic Half Life (EnHL) was introduced to characterize such an affiliation. The method was tested for 1 / f α processes for different α values. Furthermore, the dependency of the multi scale entropy analysis developed by Costa et al. (2002) [6] to the probability density function and the standard deviation of autoregressive signals was studied and discussed.