Title :
Blind source separation methods applied to synthesized polysomnographic recordings: a comparative study
Author :
Kachenoura, A. ; Albera, L. ; Senhadji, Lotfi
Author_Institution :
INSERM, Rennes
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 is to perform quantitative comparisons between various well-known BSS techniques. To do so, synthetic data, reproducing real polysomnographic recordings, are considered.
Keywords :
bioelectric phenomena; blind source separation; medical signal processing; sleep; BSS techniques; blind source separation methods; electrophysiological signal separation; polysomnographic recordings; static mixture; Band pass filters; Blind source separation; Brain modeling; Concrete; Databases; Electrocardiography; Electroencephalography; Low pass filters; Random processes; Source separation; Computer Simulation; Humans; Models, Biological; Polysomnography; Signal Processing, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353177