• DocumentCode
    1938477
  • Title

    Detecting Well-Harmonized Homeostasis in Heart Rate Fluctuations

  • Author

    Shiau, Yuo-Hsien

  • Author_Institution
    Dept. of Phys., Nat. Dong Hwa Univ., Hualien
  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    399
  • Lastpage
    403
  • Abstract
    Analyzing heart rate variability from electrocardiographic recordings has been an important method for assessing cardiovascular autonomic regulation. Researchers have conducted extensive analyses on normal as well as pathological hearts, however, it is still unclear whether increasing or decreasing the complexity of heart rate variability is a characteristic of healthy systems. In this study, we find the existence of well-harmonized homeostasis in heart rate fluctuations, in particular, the evidence is verified among different individuals including healthy subjects (n=25) and ICU patients (n=25). The methodology we used is composed of two parts, in which one is the consideration of reduction of cardiorespiratory fluctuations inherited in the original R-R intervals and the other is based upon the concept of nonlinear dynamics to construct the low- dimensional trajectory in the angle plot. In addition, we report that the cross-correlation measure between the theoretical angle map and the numerically derived angle trajectory can well separate recovery (0.73plusmn0.13) from deterioration (0.25plusmn0.08) of ICU patients. Our results suggest that the prognostic homeostasis index could be valuable for clinical applications.
  • Keywords
    electrocardiography; fluctuations; medical signal detection; nonlinear dynamical systems; angle trajectory; cardiorespiratory fluctuations; cardiovascular autonomic regulation; cross-correlation measure; electrocardiographic recordings; heart rate variability; nonlinear dynamics; prognostic homeostasis index; theoretical angle map; Cardiac disease; Cardiology; Chaos; Fluctuations; Frequency; Heart rate; Heart rate detection; Heart rate variability; Pathology; Rhythm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-0-7695-3118-2
  • Type

    conf

  • DOI
    10.1109/BMEI.2008.333
  • Filename
    4549203