A new proposal for time domain features of EMG signal on individual basis over conventional space

To draw suitable conclusion(s) and make rational decision(s) on any set of numerical data obtained from observations, the bunching of it is require by ways of different to determine the unique value for it. This unique value by ways of different gives the representative value of the whole group, which human can grasp more easily. The different ways for finding the unique value of a group are mean, mean absolute value, RMS, simple square integral etc. In this paper also, some of the different ways for finding of unique value of a data are discuss but over the conventional space of individuals, which is 2, in case of both continuous and discrete domain. For such function splitting is require. The objective behind the function splitting is to make it in to the parts of two as a positive or negative to analyze the data on individual similarity basis. Up till in most of the cases of data analyzing by ways of different we are doing it on the collective basis only, but here we have the approach for analyzing the same but on individual basis as well, as it provides additional information, which may proves to be beneficial in some cases like surface EMG classification.