• DocumentCode
    636911
  • Title

    Synchronisation and coupling analysis: Applied cardiovascular physics in sleep medicine

  • Author

    Wessel, Niels ; Riedl, Maik ; Kramer, Juliane ; Muller, A. ; Penzel, Thomas ; Kurths, J.

  • Author_Institution
    Dept. of Phys., Humboldt-Univ. zu Berlin, Berlin, Germany
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    6567
  • Lastpage
    6570
  • Abstract
    Sleep is a physiological process with an internal program of a number of well defined sleep stages and intermediate wakefulness periods. The sleep stages modulate the autonomous nervous system and thereby the sleep stages are accompanied by different regulation regimes for the cardiovascular and respiratory system. The differences in regulation can be distinguished by new techniques of cardiovascular physics. The number of patients suffering from sleep disorders increases unproportionally with the increase of the human population and aging, leading to very high expenses in the public health system. Therefore, the challenge of cardiovascular physics is to develop highly-sophisticated methods which are able to, on the one hand, supplement and replace expensive medical devices and, on the other hand, improve the medical diagnostics with decreasing the patient´s risk. Methods of cardiovascular physics are used to analyze heart rate, blood pressure and respiration to detect changes of the autonomous nervous system in different diseases. Data driven modeling analysis, synchronization and coupling analysis and their applications to biosignals in healthy subjects and patients with different sleep disorders are presented. Newly derived methods of cardiovascular physics can help to find indicators for these health risks.
  • Keywords
    biomedical equipment; cardiovascular system; medical disorders; neurophysiology; patient diagnosis; pneumodynamics; sleep; synchronisation; aging; applied cardiovascular physics; autonomous nervous system; blood pressure; cardiovascular system; coupling analysis; data driven modeling analysis; diseases; health risks; healthy subjects; heart rate; high-sophisticated methods; human population; intermediate wakefulness periods; medical devices; medical diagnosis; patient risk; physiological process; public health system; respiratory system; sleep disorders; sleep medicine; synchronisation; Blood pressure; Correlation; Couplings; Physics; Sleep apnea; Synchronization; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611060
  • Filename
    6611060