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Titre [ Type(Desc)] Année
Filtres: Auteur is Daniel Schang  [Clear All Filters]
Article
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)
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.
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.
Communications avec actes
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.
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.