Patent ID: 7421103

Claim:
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 GTx i =GTx i old +G m,i ·G m,k and the square of a measurement value vector XX=XX old +( x m ) 2 from the calculated vector elements GTx i old and the square of the vector XX old of the directly preceding data set, and for the subsequent data set and storing said squares as an intermediate result, 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 MM=MM old +GTG j,k ·b j ·b k and the square of an error vector EE=XX−MM whereby j=0 . . . sp-1 and b j , b k are vector elements of the vector b=GTG −1 ·GTx that are calculated in an intermediate step.