Abstract: The invention concerns a method for evaluating measured periodic or quasi-periodic signals, produced by medical sensor systems, by digitizing the signals and comparing measured signal segments with signal segments stored in a databank. A medical result has been stored and with the stored signal segments and on the basis of the frequency of medical results belonging to the signal segments showing greatest similarity with the measured signal segment, it is possible to determine at least by deduction a medical result corresponding to the measured signal segment. According to the present invention, weighting values corresponding to the probability that the given medical results are those expected are stored with the signal segment data, and a weighting value for each of the medical results concerned is formed on the basis of the weighting values, belonging to the stored signal segments identified as being similar to a measured signal segment, of each of the medical results.

Abstract: The invention provides a means of deriving highly reliable diagnostic information from the signals and data of medical measuring systems without first reducing the measuring data to individual characteristics and then associating these using decision trees in order to form a diagnostic conclusion. To this end, a comparator compares the measuring data recorded by a patient and provided by the sensor channels of a measuring system with measuring data which is stored in measuring databases and which is provided by comparable sensor channels of reference measuring systems. The data is compared in such a way that the reference measuring systems selected from the measuring databases are those which bear the most similarity to the measurements taken by the patient in terms of the measuring data of comparable sensor channels and which have a greatest possible number of the sensor channels which best match in terms of measuring data and which best correspond to each other.

Abstract: A method for evaluating measured periodic or quasiperiodic signals of medical sensor systems. The method comprises digitizing the measured signals with a specific first sampling frequency, normalizing the periods of the measured signals to a predetermined period length, using a database in which previously measured signals are stored after digitization with specific second sampling frequencies and in which medical findings are assigned to the stored signals. If the first and second sampling frequencies are not identical, converting the measured signal of the signals stored in the database so as to have the same sampling frequencies.