Literature DB >> 16617618

Blind source separation for ambulatory sleep recording.

Fabienne Porée1, Amar Kachenoura, Hervé Gauvrit, Catherine Morvan, Guy Carrault, Lotfi Senhadji.   

Abstract

This paper deals with the conception of a new system for sleep staging in ambulatory conditions. Sleep recording is performed by means of five electrodes: two temporal, two frontal and a reference. This configuration enables to avoid the chin area to enhance the quality of the muscular signal and the hair region for patient convenience. The electroencephalopgram (EEG), eletromyogram (EMG), and electrooculogram (EOG) signals are separated using the Independent Component Analysis approach. The system is compared to a standard sleep analysis system using polysomnographic recordings of 14 patients. The overall concordance of 67.2% is achieved between the two systems. Based on the validation results and the computational efficiency we recommend the clinical use of the proposed system in a commercial sleep analysis platform.

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Year:  2006        PMID: 16617618      PMCID: PMC2259394          DOI: 10.1109/titb.2005.859878

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  8 in total

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Journal:  IEEE Trans Neural Netw       Date:  1999

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Authors:  T Young; M Palta; J Dempsey; J Skatrud; S Weber; S Badr
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Journal:  Chest       Date:  1995-08       Impact factor: 9.410

  8 in total
  3 in total

1.  Turning Tangent Empirical Mode Decomposition: A Framework for Mono- and Multivariate Signals.

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Journal:  IEEE Trans Signal Process       Date:  2011-03       Impact factor: 4.931

2.  On joint diagonalization of cumulant matrices for independent component analysis of MRS and EEG signals.

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Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Blind source separation methods applied to synthesized polysomnographic recordings: a comparative study.

Authors:  Amar Kachenoura; Laurent Albera; Lotfi Senhadji
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007
  3 in total

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