Patent ID: 7076288

Claim:
A method of detecting or predicting biological anomalies, comprising the steps of: analyzing input biological or physical data using a data processing routine including a set of application parameters associated with biological data correlating with the biological anomalies to produce a data series, determining whether a slope of the data series is smaller than a predetermined value; if the slope is less than a predetermined value, setting the slope to a predetermined number; and using the data series to detect or predict the onset of the biological anomalies, wherein the data processing routine uses the following algorithm to produce a data series PD2i: PD2iËœlog C(n, r, nref*)/log r where Ëœ means scales as, C is the correlation integral for PD2i in which n equals the data length, r equals the scaling range, and nref* equals a location of the reference vector for estimating the scaling region slope of log C/log r in a restricted small log-r range that is devoid of the effects of non-stationary data.