Simulation of biological systems is one of the current research topics due to the advancement of science along with the human needs. Particularly, functioning of the human body is one of the essential issues among them. For example, our intention here is mainly for diagnosis of epilepsy via correct analysis of the data obtained from brain function. Perhaps biological systems are the most complex systems in nature and therefore it is required to simulate them with complex and powerful geometries for investigation. In order to analyze such systems Fractional geometry is one of the useful methods, i.e. The aim of this study is to find a better way to analyze biological signals more precisely based on fractional geometry. Thus, we will first introduce the fractional and multifractional methods and then study each of them in terms of strengths and weaknesses. Based on our analyses, Higuchi's method and DFA are not suitable methods for monofractal analysis. On the other side, we consider Chhabra Jensen's and MF-DFA methods as potential alternatives for multifractal analysis, where we show that the Chhabra Jensen method is more successful than the MF-DFA method. In fact, this method is simpler and unlike the other mentioned methods does not require Legendre transform. Consequently, we analyze our results based on the Chhabra Jensen method and show its advantages for signal analysis in biological systems.
