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Early pbkp_rediction of tilt test outcome, with support vector machine non linear classifier, using ECG, pressure and impedance signals

Abstract:

The tilt test is a valuable clinical tool for the diagnosis of Vasovagal Syncope. No practical system has been implemented to pbkp_redict the tilt test outcome at the beginning in the procedure. Our objective was to evaluate and benchmark, over a sufficient database, the pbkp_redictive performance of the proposed parameters in the literature. We analyzed a database of 727 consecutive cases of tilt test. Previously proposed features were measured from heart rate and systolic/diastolic pressure, in several representative signal segments. A support vector machine (SVM) was used to pbkp_redict the test outcome with the available features. Also the inclusion of additional physiological signals (impedance) was intended to improve the performance. The pbkp_redictive performance of the nonline-arly combined previously proposed features was limited (p<0.03 and area under ROC curve 0.57±0.12), especially in the beginning of the test, which is the most clinically relevant period. The improvement with additional available physiological information and SVM was limited (area under ROC curve 0.59±0.22). We conclude that the existing methods for tilt test outcome pbkp_rediction knowledge should be considered with caution. © 2011 CCAL.