Qualitative Description of Electrophysiologic Measurements: towards automatic data interpretation.

The first steps towards an automatic interpretation of on-line measurements in intracardiac electrophysiologic tests consist in a transformation of the test data obtained by a beat-to-beat measurement device, in an adequate symbolic representation, an exhaustive description of the results and the discussion of inferable medical interpretation hypotheses. On the base of a simple test protocol, the cyclic interpretation sequence is pointed out with a survey over its subtasks. The qualitative description aspect is considered in detail. An example with knowledge representation issues of the used commercial shell and an output of the prototype version is presented.

[1]  Real-time beat-to-beat measurement of conduction intervals during cardiac electrophysiological studies. , 1984, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[2]  William J. Clancey,et al.  The Epistemology of a Rule-Based Expert System - A Framework for Explanation , 1981, Artif. Intell..

[3]  E H Shortliffe,et al.  PUFF: an expert system for interpretation of pulmonary function data. , 1982, Computers and biomedical research, an international journal.

[4]  John R. Bourne,et al.  A Rule-Based Microcomputer System for Electroencephalogram Evaluation , 1984, IEEE Transactions on Biomedical Engineering.

[5]  Tetsutaro Shibahara On Using Causal Knowledge to Recognize Vital Signals: Knowledge-based Interpretation of Arrhythmias , 1985, IJCAI.

[6]  Casimir A. Kulikowski,et al.  A Practical Guide to Designing Expert Systems , 1984 .

[7]  John K. Tsotsos Temporal Event Recognition: An Application to Left Ventricular Performance , 1981, IJCAI.

[8]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[9]  James F. Allen Maintaining knowledge about temporal intervals , 1983, CACM.

[10]  James A. Reggia,et al.  Computer-Assisted Medical Decision Making , 1985, Computers and Medicine.