A computer system has been developed to facilitate the clinical interpretation of paced ECGs. The system, which features artificial intelligence constructs, is composed of three main modules. The first module, by use of digital signal processing techniques, identifies and provides metrics about ECG events. The second module, by use of an analytic model of the pacemaker, evaluates the pacemaker's functional status for each event. The third module, by use of a knowledge base that combines clinical and engineering inferences about pacemaker functioning, identifies problems from the observed pacemaker events. The system thus identifies both normal and abnormal pacemaker operations and also indicates possible causes of malfunctions as well as potential corrective actions.
|Title of host publication||IEEE/Engineering in Medicine and Biology Society Annual Conference|
|Place of Publication||New York, NY, USA|
|Number of pages||4|
|State||Published - Dec 1 1986|
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