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Consulteu Articles per autor "Cichocki, Andrej"

Consulteu Articles per autor "Cichocki, Andrej"

Ordena per: Ordre: Resultats:

  • 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 ...
  • EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts
    Vialatte, François B.; Solé-Casals, Jordi; Cichocki, Andrej (Institute of Physics, 2008)
    EEG recordings are usually corrupted by spurious extra-cerebral artifacts, which should be rejected or cleaned up by the practitioner. Since manual screening of human EEGs is inherently error prone and might induce experimental ...
  • 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 ...
  • 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 ...
  • 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 ...

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