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Browsing Documents de Congressos by Author "Vialatte, François B."

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Coherency and sharpness measures by using ICA algorithms. An investigation for Alzheimer’s disease discrimination

Solé-Casals, Jordi; Vialatte, François B.; Chen, Zhe; Cichocki, Andrej (Springer, 2009)

In this paper, we present a comprehensive study of different Independent Component Analysis (ICA) algorithms for the calculation of coherency and sharpness of electroencephalogram (EEG) signals, in order to investigate ...
Differences of Functional Connectivity Brain Network in Emotional Judgment

Amadlou, Mehran; Hiyoshi-Taniguchi, Kazuko; Solé-Casals, Jordi; Fukuyama, Hironori; Cichocki, Andrej; Vialatte, François B. (Springer, 2013)

Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, ...
EEG Windowed statitical wavelet deviation for estimation of muscular artifacts

Vialatte, François B.; Solé-Casals, Jordi; Cichocki, Andrej (IEEE, 2007)

Electroencephalographic (EEG) recordings are, most of the times, corrupted by spurious artifacts, which should be rejected or cleaned by the practitioner. As human scalp EEG screening is error-prone, automatic artifact ...
ICA Cleaning procedure for EEG signals analysis: application to Alzheimer's disease detection

Solé-Casals, Jordi; Vialatte, François B.; Pantel, J.; Prvulovic, D.; Haenschel, C.; Cichocki, Andrej (2010)

To develop systems in order to detect Alzheimer’s disease we want to use EEG signals. Available database is raw, so the first step must be to clean signals properly. We propose a new way of ICA cleaning on a database ...
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 ...
Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease

Solé-Casals, Jordi; Vialatte, François B.; Chen, Zhe; Cichocki, Andrej (2008)

In this paper we present a quantitative comparisons of different independent component analysis (ICA) algorithms in order to investigate their potential use in preprocessing (such as noise reduction and feature extraction) the ...

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Browsing Documents de Congressos by Author "Vialatte, François B."

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