Daniel Schang
Daniel Schang
Unknown affiliation
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Cited by
Cited by
Changes in the transthoracic impedance signal predict the outcome of a 70 head-up tilt test
E Bellard, JO Fortrat, D Schang, JM Dupuis, J Victor, G Lefthériotis
Clinical Science 104 (2), 119-126, 2003
Prediction of blood transfusion donation
M Darwiche, M Feuilloy, G Bousaleh, D Schang
2010 fourth international conference on research challenges in information …, 2010
Early prediction of unexplained syncope by support vector machines
D Schang, M Feuilloy, G Plantier, JO Fortrat, P Nicolas
Physiological Measurement 28 (2), 185, 2006
A novel multi-objective medical feature selection compass method for binary classification
N Gutowski, D Schang, O Camp, P Abraham
Artificial Intelligence in Medicine 127, 102277, 2022
Late hemodynamic changes during a negative passive head‐up tilt predict the symptomatic outcome to a nitroglycerin sensitized tilt
E Bellard, JO FORTRAT, D Schang, JM DUPUIS, J Victor, G Lefthériotis
Pacing and clinical electrophysiology 28 (2), 89-96, 2005
Apparatus and process for measuring and processing physiological signals
P Notton, D Schang
US Patent 5,735,286, 1998
Evaluation of automatic feature detection algorithms in EEG: application to interburst intervals
PE Chauvet, SNT Tich, D Schang, A Clément
Computers in biology and medicine 54, 61-71, 2014
Cardiovascular variables do not predict head-up tilt test outcome better than body composition
JO Fortrat, D Schang, E Bellard, J Victor, G Lefthériotis
Clinical Autonomic Research 17, 206-210, 2007
Représentation et interprétation de connaissances spatiales dans un système de dialogue homme-machine
D Schang
Université Henri Poincaré-Nancy 1, 1997
Comparison of computational algorithms applied on transthoracic impedance waveforms to predict head-up tilt table testing outcome
D Schang, E Bellard, G Plantier, JM Dupuis, J Victor, G Leftheriotis
Computers in Biology and Medicine 36 (3), 225-240, 2006
Apparatus for measuring and processing physiological signals and automatic method therefor
J Bour, D Schang, P Notton
Brevet international-En anglais, No, 1994
Application de la notion de cadre aux énoncés de positionnement et de référence
D Schang
INRIA, 1995
Dimension reduction methods for the early syncope prediction by artificial neural networks
M Feuilloy, D Schang, P Nicolas, JO Fortrat, J Victor
Proceedings of the Eighth International Symposium on Signal Processing and …, 2005
Prévention de la syncope chez l’homme
D Schang, G Plantier, E Bellard, G Leftheriotis
Proceedings of the GRETSI, 2003
Frames, a unified model for the representation of reference and space in a Man-Machine Dialogue
D Schang, L Romary
3rd International Conference on Spoken Language Processing (ICSLP-94), -, 1994
Nguyen The Tich S, Daya B, Gibaud M (2018) Automatic detector of abnormal EEG for preterm infants
N Jrad, D Schang, P Chauvet
Internet of things (IoT) technologies for healthcare. HealthyIoT, 2017
Framing the world, towards a localised spatial reasoning
D Schang, L Romary
3rd International Conference on the Cognitive Science of Natural Language …, 1994
Identification of new factors associated to walking impairment in patients with vascular-type claudication
T Mezdad, S Henni, M Feuilloy, P Chauvet, D Schang, P Abraham
Vascular 27 (3), 260-269, 2019
Creep test material rupture prediction by neural networks
M Darwiche, M Feuilloy, D Schang, G Bousaleh, R Elguerjouma
2012 6th International Conference on Sciences of Electronics, Technologies …, 2012
A quick low cost method for syncope prediction
M Feuilloy, D Schang, P Nicolas
2006 14th European Signal Processing Conference, 1-5, 2006
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