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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) p. 61–71. 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) p. 1055.1. 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) p. 141.
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.