Evaluation system for obtaining diagnostic information from the signals and data of medical sensor systems

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. The selected reference measuring systems, along with the information belonging to the reference measuring systems of the measuring database and the comparison of this with the information belonging to the patient, are then used to form a diagnostic conclusion which applies to the patient with a certain degree of probability.

Dependencies are inferred from the claim text.