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Browsing by Author "Maurice, Monique"

Browsing by Author "Maurice, Monique"

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  • 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 ...
  • 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 ...
  • Improving the Quality of EEG Data in Patients With Alzheimers Disease Using ICA
    Vialatte, François B.; Solé-Casals, Jordi; Maurice, Monique; Latchoumane, Charles-François V.; Hudson, Niegel; Wimalaratna, Sunil R.; Jaeseung, Jeonga; Cichocki, Andrej (Springer, 2008)
    Does Independent Component Analysis (ICA) denature EEG signals? We applied ICA to two groups of subjects (mild Alzheimer patients and control subjects). The aim of this study was to examine whether or not the ICA method ...
  • Multiway Array Decomposition Analysis of EEGs in Alzheimer’s Disease
    Latchoumane, Charles-François V.; Vialatte, François B.; Solé-Casals, Jordi; Maurice, Monique; Wimalaratna, Sunil R.; Hudson, Niegel; Jaeseung, Jeonga; Cichocki, Andrej (Elsevier, 2012)
    Methods for the extraction of features from physiological datasets are growing needs as clinical investigations of Alzheimer’s disease (AD) in large and heterogeneous population increase. General tools allowing diagnostic ...

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