Abstract
The problem of detection and identification of cardiac transient rhythms, using the associated R-R interval sequence, is studied. A generalized likelihood ratio technique is proposed, in which the transient rhythm category is identified by means of a maximum-likelihood hypothesis test. Simultaneously, the magnitude of the change in the R-R interval pattern is estimated. The method is easily mechanized on-line using a moving window of data and prestored gains. Experimental results using actual data are presented to indicate the utility of the method.
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