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Filtres: Auteur is Yasser Al Hajjar  [Clear All Filters]
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Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P. (2018).  Determinant characteristics in EEG signal based on bursts amplitude segmentation for predicting pathological outcomes of a premature newborn, with validation using ANN. Analog Integrated Circuits and Signal Processing, 10.1007/s10470-018-1129-1.
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Hajjar, Y. Al, Hajjar A E S., Daya B. et Chauvet P. (2017).  Intelligent Models to Predict the Prognosis of Premature Neonates According to Their EEG Signals. International Journal of Biomedical and Clinical Engineering, 6 p. 57 - 66.