Skip to main navigation Skip to search Skip to main content

Joint symbolic dynamics as a model-free approach to study interdependence in cardio-respiratory time series

  • Mathias Baumert
  • , Rachael Brown
  • , Stephen Duma
  • , G. Anthony Broe
  • , Muammar M. Kabir
  • , Vaughan G. Macefield

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    6 Citations (Scopus)

    Abstract

    Heart rate and respiration display fluctuations that are interlinked by central regulatory mechanisms of the autonomic nervous system (ANS). Joint assessment of respiratory time series along with heart rate variability (HRV) may therefore provide information on ANS dysfunction. The aim of this study was to investigate cardio-respiratory LQWHUDFWLRQ_ LQ_ SDWLHQWV_ ZLWK_ 3DUNLQVRQ¶V_ GLVHDVH (PD), a neurodegenerative disorder that is associated with progressive ANS dysfunction. Short-term ECG and respiration were recorded in 25 PD patients and 28 healthy controls during rest. To assess ANS dysfunction we analyzed joint symbolic dynamics of heart rate and respiration, cardio-respiratory synchrograms along with heart rate variability. Neither HRV nor cardio-respiratory synchrograms were significantly altered in PD patients. Symbolic analysis, however, identified a significant reduction in cardio-respiratory interactions in PD patients compared to healthy controls (16 ± 3.6 % vs. 20 ± 6.1 %; p = 0.02). In conclusion, joint symbolic analysis of cardiorespiratory dynamics provides a powerful tool to detect early signs of autonomic nervous system dysfunction in 3DUNLQVRQ¶V_ disease patients at an early stage of the disease.
    Original languageEnglish
    Title of host publicationProceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2012): 28 Aug. 2012 - 1 Sep. 2012, San Diego, California
    PublisherIEEE
    Pages3680-3683
    Number of pages4
    ISBN (Print)9781424441204
    DOIs
    Publication statusPublished - 2012
    EventIEEE Engineering in Medicine and Biology Society. Conference -
    Duration: 28 Aug 2012 → …

    Publication series

    Name
    ISSN (Print)1557-170X

    Conference

    ConferenceIEEE Engineering in Medicine and Biology Society. Conference
    Period28/08/12 → …

    Keywords

    • Parkinson's disease
    • autonomic nervous system
    • electrocardiography
    • heart rate monitoring
    • time-series analysis

    Fingerprint

    Dive into the research topics of 'Joint symbolic dynamics as a model-free approach to study interdependence in cardio-respiratory time series'. Together they form a unique fingerprint.

    Cite this