Skip to Main content Skip to Navigation
New interface

Localisation et caractérisation du déroulement de la crise d'épilepsie temporale

Abstract : The electroencephalogram (EEG) is the essential clinical examination for the diagnosis, the definition of brain structures responsible of seizures and epilepsy classification. However, the signals collected on the surface of the scalp are very disturbed by artifacts and noise, which complicates the clinical interpretation or the automatic analysis. This work aims to extract descriptors of surface EEG signals that can lead to the spatio-temporal characterization of the temporal lobe seizures. The inter-channel relationship estimators applied are parametric linear methods, such as cross-spectrum (S), coherence (C), Directed Transfer Function (DTF) or Partial Directed Coherence (PDC). Relations are estimated on real EEG recordings containing a crisis. The detection of strong inter-channel relationships is exploited in order to lateralize and to characterize seizures. All methods are applied to raw and preprocessed EEG signals. A preprocessing step, based on the separation and classification of sources and denoising is implemented to remove artifacts and noise with a minimal loss of information by reducing the risk of false detections of inter-signal connectivity relationships. The results on 51 crises show that a signal preprocessing improves the detection and the rate of correct lateralization. A coupling method between S and directivity parametric methods (PDC and DTF) improves the characterization of crises
Document type :
Complete list of metadata

Cited literature [166 references]  Display  Hide  Download
Contributor : Thèses UL Connect in order to contact the contributor
Submitted on : Thursday, March 29, 2018 - 11:51:43 AM
Last modification on : Saturday, October 16, 2021 - 11:14:14 AM
Long-term archiving on: : Friday, September 14, 2018 - 10:12:19 AM


Files produced by the author(s)


  • HAL Id : tel-01748869, version 1



Hugo Abraham Vélez Pérez. Localisation et caractérisation du déroulement de la crise d'épilepsie temporale. Autre. Institut National Polytechnique de Lorraine, 2010. Français. ⟨NNT : 2010INPL051N⟩. ⟨tel-01748869⟩



Record views


Files downloads