Correlation between blood glucose and hematocrit: A new estimation methodology

The estimation of hematocrit in the enzyme and mediator configured blood glucose monitoring electrochemical strips is proposed conceptualizing an innovative data mining methodology. This methodology demonstrate assimilating the peak current (I-P), and time (t(P)) to achieve the peak current of the amperome-try; as a coordinate point in the indigenously nomenclated HMM (Hematocrit Monitoring Method) I-P-t(P) Array. The array consists of constructing a matrix (9 x 7 matrix) that could be extended to a matrix of appreciable size within the computational limitations. The computational results of hematocrit estimation are precise in the experimental range of 10-50% hematocrit volume. A mathematical model for the transient current emanating from an electrochemical strip is also formulated corroborating our experimental results.