Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome. Export

@article{citeulike:1649693, 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 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.}, address = {Ecole Sup\'{e}rieure d'Electronique de l'Ouest 4, rue Merlet de la Boulaye, P.O. Box 926, 49009 Angers Cedex 01, France. daniel.schang@eseo.fr}, author = {Schang, D. and Bellard, E. and Plantier, G. and Dupuis, J. M. and Victor, J. and Leftheriotis, G.}, citeulike-article-id = {1649693}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.compbiomed.2004.09.004}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16446157}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16446157}, doi = {10.1016/j.compbiomed.2004.09.004}, issn = {0010-4825}, journal = {Comput Biol Med}, keywords = {diagnosis, hut, network, neural}, month = {March}, number = {3}, pages = {225--240}, posted-at = {2007-09-12 22:49:21}, priority = {2}, title = {Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome.}, url = {http://dx.doi.org/10.1016/j.compbiomed.2004.09.004}, volume = {36}, year = {2006} }

TY - JOUR ID - citeulike:1649693 L3 - citeulike-article-id:1649693 N2 - 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. IS - 3 JF - Comput Biol Med SN - 0010-4825 AD - 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 EP - 240 TI - Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome. VL - 36 SP - 225 KW - diagnosis KW - hut KW - network KW - neural AU - Schang, D AU - Bellard, E AU - Plantier, G AU - Dupuis, JM AU - Victor, J AU - Leftheriotis, G PY - 2006/03// UR - http://dx.doi.org/10.1016/j.compbiomed.2004.09.004 ER -