Abstract
A new paradigm for the oxyhemoglobin equilibrium curve proposed by Easton (1979) has been fit to human and dog blood saturation data by a simple linear regression algorithm. The equation derived from Easton’s paradigm is characterized by only two parameters, and can fit saturation data between 0 and 95% with a root mean square error less than 0.5%. The upper 5% of the curve is not adequately described. Easton’s equation is more accurate than the empirical Hill (1910) equation and approaches the accuracy of the more complicated Adair (1925) equation in this range.