1 citations · 1 across the 5 of their papers we have counts for
5 papers
Multi-classification of High-Frequency Oscillations Using iEEG Signals and Deep Learning Models
Zayneb Sadek, Abir Hadriche, Rahma Maalej +1
Over the past decade, high-frequency oscillations (HFOs) have been studied as a promising biomarker for localizing epileptogenic areas in drug-resistant patients requiring pre-surg…
Comparison of inverse problem linear and non-linear methods for localization source: a combined TMS-EEG study
Ridha jarray, Abir Hadriche, Cokri ben Amar +1
The Electro-Encephalo-Graphy (EEG) technique consists of estimating the cortical distribution of signals over time of electrical activity and also of locating the zones of primary…
Detection of pure epileptic transitory among gamma oscillatory activities in MEG signals by SVD, embedded on a partial dynamic reconfiguration
Nawel Jmail, Tarek Frikha, Abir Hadriche +1
In this work we used the SVD to reconstruct pure epileptic transitory activities for the definition of the accurate sources responsible of the excessive discharge implied by the tr…
Evaluation of techniques for predicting seizure Build up
Amira Hajjeji, Nawel Jmail, Abir Hadriche +2
The analysis of electrophysiological signal of scalp: EEG (electroencephalography), MEG (magnetoencephalography) and depth (intracerebral EEG) IEEG is a way to delimit epileptogeni…
Integration of stationary wavelet transform on a dynamic partial reconfiguration: case study separating preictal gamma oscillations from transitory activities for early build up epileptic seizure
Ridha Jarray, Nawel Jmail, Abir Hadriche +2
To define the neural networks responsible of the epileptic seizure, we had to study the electrophysiological signal in a proper way. The early recognition of the seizure build up c…