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État académique
Soutenance prévue le 2017-04-14
Sujet: Etude des signaux EEG appliquée à la télémédecine
Direction de thèse:
Encadrement de thèse:
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
A novel approach using WAAVES coder for the EEG signal compression
International audience
BHI2016 http://hal.upmc.fr/hal-01321295 BHI2016, Feb 2016, LAS VEGAS - Nevada, United States. 2016ARRAY(0x7f03ff185090) 2016-02-24
Epileptic Seizure Detection based on Expected Activity Measurement and Neural Network Classification
International audience
The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) http://hal.upmc.fr/hal-01555406 The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jul 2017, Jeju Island, South KoreaARRAY(0x7f03ff1791a0) 2017-07-11
Smart-EEG: a Tele-medicine System for EEG Exams
National audience
This paper presents Smart-EEG, a telemedicine project aiming to improve remote diagnosis of brain diseases. Those exams are commonly done by acquiring EEG, ECG, EOG, EMG and a video of the scene. Nowadays, systems uses video acquisition limited to standard frame-rate (30 fps) and unreliable synchronization mechanism. Those current limitations may lead to wrong diagnosis of a patient. To get around those limitation, the system architecture is centered around a hardware acquisition system handling synchronization and compression and a self contained EEG exam file to permit remote diagnosis. This device aims at providing reliable synchronization and high frame-rate video recording
JETSAN JETSAN 2015 https://hal.archives-ouvertes.fr/hal-01167263 JETSAN 2015, May 2015, Compiègne, France. JETSANARRAY(0x7f03fec87028) 2015-05-27
SmartEEG : a multimodal tool for EEG signals
International audience
In this paper we present an hardware realisation for an image coder used in the SmartEEG project. This collaborative project has the aim of the conception of a multimodal tool for EEG signal to allow transmission of a complete examination of a patient. We show that we can expect good performance on a FPGA board for the time consuming part of this tool that is the image coder.
Faible Tension Faible Consommation https://hal.archives-ouvertes.fr/hal-01017444 IEEE. Faible Tension Faible Consommation, May 2014, Monaco, Monaco. pp.1-4, 2014, <10.1109/FTFC.2014.6828622>ARRAY(0x7f03ff1798d8) 2014-05-04