Parameter estimation of fractional volterra series via nonconvex optimization approach for wireless non-invasive blood glucose measurement system

This This paper proposes a wireless non-invasive blood glucose measurement system. The system is modeled via a fractional Volterra series. The estimation of the parameters in the model is formulated as a nonconvex optimization problem. By grouping the vector of the system parameters into three different subvectors, an iterative approach is proposed for finding a solution of the optimization problem. Experimental results show that the accuracy of the model is very high.