Loading...

Processing polysomnographic signals, using independent component analysis approaches

Sameni, R ; Sharif University of Technology | 2004

354 Viewed
  1. Type of Document: Article
  2. Publisher: 2004
  3. Abstract:
  4. In this paper several applications of the Independent Component Analysis (ICA) algorithm, for the analysis of biomedical signal recordings have been investigated. One of these applications is the removal of EEG artifacts such as the EOG. It is shown that ICA may serve as a powerful tool, which could help the analysis of biomedical recordings, and give better insights about the underlying sources of some disorders. Another application of the proposed method is the detection of sleep disorders in patients suffering from sleep apnea. The ultimate goal of this approach is to develop an automatic noninvasive data acquisition system, for clinical applications
  5. Keywords:
  6. Biomedical signal artifacts ; Independent Component Analysis ; Polysomnographic signals
  7. Source: Proceedings of the IASTED International Conference on Biomedical Engineering, Innsbruck, 16 February 2004 through 18 February 2004 ; 2004 , Pages 193-196 ; 0889863792 (ISBN); 9780889863798 (ISBN)
  8. URL: https://hal.archives-ouvertes.fr/hal-00174353/document