• DocumentCode
    3077255
  • Title

    Analysis of coherence between sleep EEG and ECG signals during and after obstructive sleep apnea events

  • Author

    Khandoker, Ahsan H. ; Karmakar, Chandan K. ; Palaniswami, Marimuthu

  • Author_Institution
    Department of Electrical & Electronic Engineering, The University of Melbourne, VIC 3010, Australia
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3876
  • Lastpage
    3879
  • Abstract
    This study presents the first successful preliminary attempt to directly investigate the interactions of power spectra of sleep EEG and ECG signals of patients with obstructive sleep apnea syndrome (OSAS) by coherence analysis. ECG and EEG signals were collected from 8 OSAS patients and 3 healthy subjects. Coherence between two signals over different frequency bands(0-128 Hz) were calculated for normal breathing events, obstructive sleep apnea (OSA) events and events following OSA terminations (with/without arousals) in non-REM as well as REM sleep. Overall coherence of ECG and EEG in REM sleep is higher than that in non-REM sleep. A significant (p=0.0164) difference of coherence in the range of 10–5 Hz was found among normal, OSA and termination events in REM sleep. The results could be useful in detecting OSA events or OSA related arousals to characterize sleep fragmentation from ECG and EEG signals.
  • Keywords
    Electrocardiography; Electroencephalography; Electromyography; Event detection; Frequency; Heart rate variability; Sampling methods; Senior citizens; Signal analysis; Sleep apnea; Algorithms; Case-Control Studies; Electrocardiography; Electroencephalography; Female; Humans; Male; Middle Aged; Models, Statistical; Monitoring, Physiologic; Sleep; Sleep Apnea, Obstructive; Sleep Stages; Sleep, REM; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650056
  • Filename
    4650056