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Titre Type [ Année(Desc)]
Filtres: Auteur is Daniel Schang  [Clear All Filters]
2014
Chauvet, P., Nguyen The Tich S., Schang D. et Clément A. (2014).  Evaluation of Automatic Feature Detection Algorithms in EEG. Computers in Biology and Medicine, 54 (C) 10.1016/j.compbiomed.2014.08.011.
2015
Abraham, P., Feuilloy M., Mezdad T., Chauvet P. et Schang D. (2015).  Predictors of Walking impairment in Patients With Claudication Using Linear & Non-Linear Models. The FASEB Journal, 29 (1\_supplement) 10.1096/fasebj.29.1\_supplement.1055.1.
2017
Jrad, N., Schang D., Chauvet P., Daya B. et Gibaud M. (2017).  Automatic Detector of Abnormal EEG for Preterm Infants. Dans International Conference on IoT Technologies for HealthCare . Springer.
2018
Schang, D., Chauvet P., Daya B., Jrad N. et Gibaud M. (2018).  Automatic Abnormal Electroencephalograms Detection of Preterm Infants. Journal of Data Analysis and Information Processing, 6 (04)
Jrad, N., Schang D., Chauvet P., Tich S. Nguyen The, Daya B. et Gibaud M. (2018).  Automatic Detector of Abnormal EEG for Preterm Infants. Dans Ahmed, M. Uddin, Begum S. et Fasquel J-B.(Dirs.)Internet of Things (IoT) Technologies for HealthCare (p. 82–87). Springer International Publishing.