• DocumentCode
    561821
  • Title

    Higher order spectra for heart rate variability and QT interval variability analysis: A comparison between heart failure and normal control groups

  • Author

    Li, Peng ; Liu, Chengyu ; Liu, Changchun ; Sun, Hsin ; Yang, Jing ; Ma, Guoqiang

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    309
  • Lastpage
    312
  • Abstract
    Recent studies on heart rate variability (HRV) and QT interval variability (QTV) have shown that HRV and QTV might be related to some cardiac diseases. This study used higher order spectra (HOS) method and constructed a normalized bispectrum amplitude histogram, from which two quantitative indices: bispectrum amplitude entropy (BAEn) and high-low amplitude ratio (HLAr) were defined. A total of 49 subjects (29 heart failure subjects and 20 normal control subjects) were enrolled and the results showed that the histogram distributed differently in the two groups and both BAEn and HLAr for QTV in heart failure group were significantly lower than that in normal control group (p<;0.001 for both of them), while all of them for HRV had no significant difference in the two groups. These findings pointed out that HOS analysis of QTV might give valuable information for the classification of heart failure and normal control groups.
  • Keywords
    cardiology; diseases; medical signal processing; signal classification; BAEn; HLAr; HOS analysis; HRV; QT interval variability analysis; QTV; bispectrum amplitude entropy; cardiac disease; heart failure classification; heart failure group; heart rate variability; high-low amplitude ratio; higher order spectra method; normal control group; normalized bispectrum amplitude histogram; Correlation; Couplings; Educational institutions; Feature extraction; Heart rate variability; Histograms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164564