Patent ID: 7421103
Filing Date: 2008-09-02
Classification: G06F,G06K,G16H

Abstract:
1. A method to process measurement data comprised of a plurality of data sets with a plurality of independent random samples originating via temporally successive measurements comprising the steps of: for each independent random sample in the data set, comparing a measured time curve arising from measurement data x of the random sample, using the general linear model, with a time curve of at least one model function of a model matrix G, to test for incidence of specific characteristics in the measured time curve; implementing individual calculations for the comparison from the measurement data in a sequence of the data sets, or volume data sets originating from the time sequence of the measurements, for all relevant measurement data of a volume data set and storing said calculations as intermediate results; updating the intermediate results from a directly preceding volume data set with new calculations, such that at any time intermediate results can be calculated, and after a one-time cycle of all volume data sets an end result exists from which an assertion about the incidence of the characteristics in the signal curve is derived; and calculating, in the cycle of the data sets, for each data set m and each random sample, vector elements and the square of a measurement value vector from the calculated vector elements GTx whereby m=0 . . . max−1, i=0 . . . sp−1, k=0 . . . sp−1, sp corresponds to of the number of the columns of the model matrix G, and max corresponds to the total number of the data sets, and subsequently calculating the square of a model vector and the square of an error vector whereby j=0 . . . sp-1 and b