In this paper, we first examine the effect of linear correlations and non-linear correlations between the data of the simulated series and also the effect of their distribution function on extreme events, we look at the R-R distance series (natural, extended series) and the effect of linear correlations and We examine non-linear correlations as well as the effect of their distribution function on the distribution of extreme values in them, and from the behavior of the distribution of their extreme values, we seek to find a significant difference between people without heart rhythm disorders and people with rhythm disorders. For this purpose, we calculate and plot the probability density function of the extreme values of these series using both the maximum block approach and beyond the threshold