Elie Bou Assi

Thème (s)

• Électroencéphalographie intracrânienne et de surface, signaux physiologiques enregistrés avec des objets connectés (ex. électrocardiographie, respiration);
• Traitement de signaux physiologiques (prétraitement, extraction de caractéristiques), apprentissage automatique, fusion de données multimodales;
• Applications aux maladies neurologiques (épilepsie) et psychiatriques (dépression, anxiété, psychose).

Publications choisies

• Herrera-Fortin T*, Bou Assi E*, Gagnon M-P, Nguyen DK. *equally contributing first authors. (2020). Seizure Detection Devices: A Survey of Needs and Preferences of Patients and Caregiver. Epilepsy & Behavior.
• Rong G, Mendez A, Bou Assi E, Zhao B, Sawan M. (2020). Artificial intelligence in healthcare: review and prediction case studies. Engineering. 6: 291-301.
• Bou Assi E*, Zerouali Y*, Robert M, Lesage F, Pouliot P, Nguyen DK. *equally contributing first authors. (2020). Large-scale desynchronization during interictal epileptic discharges recorded with intracranial EEG. Frontiers Neurology.
• Gagliano L, Bou Assi E, Nguyen D K, Sawan M. (2019). Bispectrum and recurrent neural networks: Improved classification of interictal and preictal sates. Scientific Reports. 9: 1-9.
• Bou Assi E, Gagliano L, Rihana S, Nguyen D K, Sawan M. (2018). Bispectrum features and multilayer perceptron classifier to enhance seizure prediction. Scientific Reports. 8: 1-8.
• Bou Assi E, Nguyen D K, Rihana S, Sawan M. (2017). Towards accurate prediction of epileptic seizures: A review. Biomedical Signal Processing and Control. 34: 144-157.