Design and development of low-cost blood serum analyser using adaptive neuro fuzzy inference system

Abstract

A predictive method, based on Adaptive Neuro Fuzzy Inference System (ANFIS), has been developed to study absorbance and pH effects on the equilibrium of blood serum. This strategy has been used to analyse the serum samples and to predict the calcium concentration in blood serum. The data acquisition system is designed and fabricated using ARM CORTEX microcontroller. ANFIS model developed is based on the data collected from calcium test. ANFIS is used to simulate different concentration of calcium (Ca2+) as a function of absorbance and pH, to correlate and predict calcium concentration. The sensor modules were designed and calibrated to measure pH and absorbance. ANFIS network is trained and validated using test data to predict the actual calcium concentration of blood serum.