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Maria Stella De Grandis, BSc

Maria Stella obtained her bachelor’s degree in 2022 in Industrial Engineering with a specialization in Biomedical Engineering from Campus Bio-Medico University of Rome (Italy). During her bachelor’s studies, she conducted research on eye-tracking technology, which led to the publication of an...

A new ecological method for the estimation of Nutritive Sucking Efficiency in newborns: measurement principle and experimental assessment.

Tamilia, Eleonora, Fabrizio Taffoni, Emiliano Schena, Domenico Formica, Luca Ricci, and Eugenio Guglielmelli. 2013. “A New Ecological Method for the Estimation of Nutritive Sucking Efficiency in Newborns: Measurement Principle and Experimental Assessment.”. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2013: 6720-3.

Magnetoencephalographic Mapping of Epileptic Spike Population Using Distributed Source Analysis: Comparison With Intracranial Electroencephalographic Spikes.

Tanaka, Naoaki, Christos Papadelis, Eleonora Tamilia, Joseph R Madsen, Phillip L Pearl, and Steven M Stufflebeam. 2018. “Magnetoencephalographic Mapping of Epileptic Spike Population Using Distributed Source Analysis: Comparison With Intracranial Electroencephalographic Spikes.”. Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society 35 (4): 339-45.

Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children with Refractory Epilepsy.

Jahromi, Saeed, Margherita A G Matarrese, Eleonora Tamilia, Scott Perry, Joseph R Madsen, Phillip L Pearl, and Christos Papadelis. 2021. “Mapping Propagation of Interictal Spikes, Ripples, and Fast Ripples in Intracranial EEG of Children With Refractory Epilepsy.”. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2021: 194-97.

Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy.

Ricci, Lorenzo, Margherita Matarrese, Jurriaan M Peters, Eleonora Tamilia, Joseph R Madsen, Phillip L Pearl, and Christos Papadelis. 2022. “Virtual Implantation Using Conventional Scalp EEG Delineates Seizure Onset and Predicts Surgical Outcome in Children With Epilepsy.”. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology 139: 49-57.