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

Authors: T. Karthikeyan; J. Satheesh Kumar; R. Jegan

Addresses: Department of Electronics and Instrumentation Engineering, Karunya University, Coimbatore, Tamil Nadu, India ' Department of Electronics and Instrumentation Engineering, Karunya University, Coimbatore, Tamil Nadu, India ' Department of Electronics and Instrumentation Engineering, Karunya University, Coimbatore, Tamil Nadu, India

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.

Keywords: ANFIS; blood serum analysis; calcium concentration; low-cost analysers; adaptive neuro fuzzy inference system; fuzzy logic; neural networks; absorbance; pH effects; data acquisition; microcontrollers; simulation.

DOI: 10.1504/IJBET.2014.064652

International Journal of Biomedical Engineering and Technology, 2014 Vol.15 No.3, pp.261 - 272

Received: 16 Apr 2014
Accepted: 23 Jun 2014
Published online: 21 Oct 2014 *

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