Hematocrit Estimation from Transduced Current Patterns Using Single Hidden Layer Feedforward Neural Networks
Hieu Trung Huynh, Yonggwan Won · 2007 International Conference on Convergence Information Technology (ICCIT 2007) · 2007
The hematocrit is the most important determinant of blood viscosity and affects so much to measurements of glucose value by handheld devices. This paper presents a method to estimate hematocrit value from the transduced current curves produced by glucose-oxidase reaction in electrochemical biosensors which is used for glucose measurements. The estimation is performed by using the single- hidden layer feedforward neural networks which are trained by the extreme learning machine (ELM) algorithms with the desired output values collected from accurately measured values by a hospital analysis system. This method can obtain the acceptable result that can be used to reduce or eliminate the hematocrit dependency in measurement of glucose values from the whole blood.