In this dissertation, Electroencephalography and Magnetoencephalography were first introduced. Then the technical background of these signals was presented. Concepts such as complexity and complex systems were also introduced. Then statistical tests such as analysis of variance as well as statistics such as skewness, kurtosis, and standard deviation were discussed. Then, topics in the field of frequency analysis such as power spectrum density, its estimation, relative power, and signal denoising were discussed. The research method was that first the multiscale entropy of the signals recorded by all sensors was calculated. Then analysis of variance was used to select the sensors. Then, the mean of multiscale entropies of the selected sensors was calculated and in order to find the relationship between age and the mean of multiscale entropies, the scatter plot of the mean multiscale entropy by age was plotted. Then a linear fit was used for the recent scatter plot. Then, in order to eva‎luate the statistical significance of the relationship between age and the mean of multiscale entropy, analysis of variance and Pearson correlation coefficient were used. The same process was followed for relative power and statistics such as skewness, kurtosis, and standard deviation.

فرهاد شهبازي، امير اخوان

كيوان آقابابايي ساماني

فرهاد فضيله، فرزانه شايق