Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome.
The goal of the present study was to develop and evaluate new algorithms for the prediction of the outcome of a head-upright tilt test (HUTT). Using transthoracic impedance and its first derivative, we attempted to determine if indexes computed on these waveforms could detect a positive outcome to a 70 degrees -45min HUTT with reliable sensitivity and specificity. The methods were evaluated retrospectively in a group of 70 patients and validated prospectively in a group of 59 patients. The best detector obtained used a neural network. It compares very favorably with published results for other syncope detectors.
Schang
D
D
Ecole Supérieure d'Electronique de l'Ouest 4, rue Merlet de la Boulaye, P.O. Box 926, 49009 Angers Cedex 01, France. daniel.schang@eseo.fr
Bellard
E
E
Plantier
G
G
Dupuis
J M
JM
Victor
J
J
Leftheriotis
G
G
D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D002307:Cardiography, Impedance; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D025341:Principal Component Analysis; D011446:Prospective Studies; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D013575:Syncope / Q000175:diagnosis*; D018667:Tilt-Table Test