Comparison of Computational Algorithms Applied on Transthoracic Impedance Waveforms to Predict Head-Up Tilt Table Testing Outcome

Daniel Schang (1, 2) , Elisabeth Bellard , Guy Plantier (1, 2) , Jean-Marc Dupuis , Jean Victor , Georges Leftheriotis

1 GSII - ESEO-GSII
2 LAUM - Laboratoire d'Acoustique de l'Université du Mans

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^o-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.

Domaines: Traitement du signal et de l'image [eess.SP]

Daniel Schang, Elisabeth Bellard, Guy Plantier, Jean-Marc Dupuis, Jean Victor, et al.. Comparison of Computational Algorithms Applied on Transthoracic Impedance Waveforms to Predict Head-Up Tilt Table Testing Outcome. Computers in Biology and Medicine, 2006, 36 (3), pp.225--240. ⟨hal-01166464⟩