Knowledge-based interpretation of bioelectrical signals

The integration into one automated system of the qualitative knowledge of the physician, who is accustomed to visually scanning a paper record, with possibly sophisticated signal analysis tools that must replace the visual scanning is addressed. The automated interpretation of bioelectrical signals must combine signal analysis knowledge with knowledge about the application domain of the signal and, as such, requires the knowledge of two experts. The role of event-oriented interpretation and the use of spatial and temporal context is discussed. An architecture for a system tailored to fit the characteristics of automated bioelectrical signal interpretation is described. It contains two separate, cooperating knowledge bases, and it makes use of object-oriented knowledge representation and spatial and temporal operators. An example of the automated detection of epileptogenic electroencephalograph sharp transients is presented.<
>