DSpace/Dipòsit Manakin

Consulteu Recerca per autor "Dauwels, Justin"

Consulteu Recerca per autor "Dauwels, Justin"

Ordena per: Ordre: Resultats:

  • Alternative Techniques of Neural Signal Processing in Neuroengineering
    Solé-Casals, Jordi; Vialatte, François B.; Dauwels, Justin (Springer, 2015)
    Neural signal processing is a discipline within neuroengineering. This interdisciplinary approach combines principles from machine learning, signal processing theory, and computational neuroscience applied to problems in ...
  • Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals
    Vialatte, François B.; Solé-Casals, Jordi; Dauwels, Justin; Maurice, Monique; Cichocki, Andrej (Biomed Central, 2009)
    Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should ...
  • Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands
    Gallego Jutglà, Esteve; Elgendi, Mohamed; Vialatte, François B.; Solé-Casals, Jordi; Cichocki, Andrej; Jaeseung, Jeonga; Dauwels, Justin; Latchoumane, Charles-François V. (Institute of Electrical and Electronic Engineers, IEEE, 2012)
    Several clinical studies have reported that EEG synchrony is affected by Alzheimer’s disease (AD). In this paper a frequency band analysis of AD EEG signals is presented, with the aim of improving the diagnosis of AD using ...
  • A hybrid feature selection approach for the early diagnosis of Alzheimer's disease
    Gallego Jutglà, Esteve; Solé-Casals, Jordi; Vialatte, François B.; Elgendi, Mohamed; Cichocki, Andrej; Dauwels, Justin (IOS Press, 2015)
    Objective. Recently, significant advances have been made in the early diagnosis of Alzheimer’s disease from EEG. However, choosing suitable measures is a challenging task. Among other measures, frequency Relative Power and ...
  • Improved Sparse Bump Modeling for Electrophysiological Data
    Vialatte, François B.; Dauwels, Justin; Solé-Casals, Jordi; Maurice, Monique; Cichocki, Andrej (Springer, 2008)
    Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we present an improved sparse bump modeling ...
  • A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease
    Gallego Jutglà, Esteve; Solé-Casals, Jordi; Vialatte, François B.; Dauwels, Justin; Cichocki, Andrej (IOS Press, 2015)
    Despite recent advances, early diagnosis of Alzheimer’s disease (AD) from electroencephalography (EEG) remains a difficult task. In this paper, we offer an added measure through which such early diagnoses can potentially ...

Buscar al RIUVic


Llistar per