Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
506157 | Computers in Biology and Medicine | 2006 | 16 Pages |
Abstract
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°–45 min 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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
D. Schang, E. Bellard, G. Plantier, J.M. Dupuis, J. Victor, G. Leftheriotis,