An adaptive neurofuzzy technique for determination of blood acidity.
This paper presents an adaptive neurofuzzy-based method for the determination of blood acidity (pH). The main advantage of this method in comparison with conventional ones used for blood pH measurements is that it is capable of estimating the blood pH without the need for a pH sensor, which in turn reduces the volume of blood sample required to conduct the chemical analysis. This method uses blood carbon dioxide partial pressure (pCO₂) and bicarbonate (HCO⁻₃) as input to a neurofuzzy approach to predict the value of blood pH. This method was validated using 60 test data points that had not been used during the training process. The obtained results showed that the pH values predicted using this method have good concordance with experimentally measured pH values. The high correlation coefficient (87.6%) between the measured and the predicted pH values reflects the method's ability to measure (estimate) the pH values using pCO₂ and HCO⁻₃ with accuracy satisfying clinical demands.
Department of Biomedical Engineering, Faculty of Engineering, Jordan University of Science and Technology, Irbid, Jordan. mashamer@gmail.com
Mashhour
M
Bani Amer
D001639:Bicarbonates / Q000737:chemistry; D001774:Blood Chemical Analysis; D002245:Carbon Dioxide / Q000737:chemistry; D017143:Fuzzy Logic; D006863:Hydrogen-Ion Concentration
D001639:Bicarbonates; D002245:Carbon Dioxide