Blind source separation methods applied to synthesized polysomnographic recordings: a comparative studyReport as inadecuate




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* Corresponding author 1 LTSI - Laboratoire Traitement du Signal et de l-Image

Abstract : Blind Source Separation BSS problems, under the assumption of static mixture, were extensively explored from the theoretical point of view. Powerful algorithms are now at hand to deal with many concrete BSS applications. Nevertheless, the performances of BSS methods, for a given biomedical application, are rarely investigated. The aim of this paper ii t o perform quantitative comparisons between various well-known BSS techniques. To do so, synthetic data, reproducing real polysomnographic recordings, are considered.

Keywords : Independent Component Analysis ICA BSS ECG EEG Polysomnography Modeling Source Mixing matrix





Author: Amar Kachenoura - Laurent Albera - Lotfi Senhadji -

Source: https://hal.archives-ouvertes.fr/



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