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Consulteu Recerca per autor "Latchoumane, Charles-François V."

Consulteu Recerca per autor "Latchoumane, Charles-François V."

Ordena per: Ordre: Resultats:

  • 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 ...
  • 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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