• DocumentCode
    1428591
  • Title

    Spectral distortion properties of the integral pulse frequency modulation model

  • Author

    Nakao, Mitsuyuki ; Norimatsu, Masashi ; Mizutani, Yoshinari ; Yamamoto, Mitsuaki

  • Author_Institution
    Lab. of Neurophysiol. & Bioinf., Tohoku Univ., Sendai, Japan
  • Volume
    44
  • Issue
    5
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    419
  • Lastpage
    426
  • Abstract
    The integral pulse frequency modulation (IPFM) model has been used for the following two purposes. First, it has been utilized to verify the correspondence between the spectral structure of autonomic input and the estimated spectrum of heart rate variability (HRV), relying mainly on the theoretical work of Bayly (1968). Second, the IPFM model provides a framework for evaluating how precisely the proposed method of HRV analysis could estimate the input spectral structure. However, the appropriateness of the IPFM model for both purposes has not been examined sufficiently in realistic situations. Here, the spectral structure of the pulse train generated by the IPFM model is theoretically derived for an input signal containing multiple frequency components. This is a more general condition than the single sinusoidal input signal used earlier. In accordance with the theoretical results, the magnitude of the spectral distortion is computed for a pair of varied frequencies, considering the corresponding coefficient of variation of interpulse intervals. Results show that the distortion could be nonnegligible under practical values of the coefficient of variation. Such distortion may well affect the spectral structure in the wide frequency range. This study suggests that the spectral structure of HRV should be interpreted carefully, taking the above distortion properties into account, even though the IPFM model appears to be established as a mechanism mediating between autonomic input and heart rate variability.
  • Keywords
    electrocardiography; medical signal processing; physiological models; pulse frequency modulation; spectral analysis; autonomic input; coefficient of variation; heart rate variability; input spectral structure; integral pulse frequency modulation model; multiple frequency components; pulse train; single sinusoidal input signal; spectral distortion properties; Bioinformatics; Biological system modeling; Filters; Frequency modulation; Heart beat; Heart rate variability; Laboratories; Neurophysiology; Pulse generation; Pulse modulation; Heart Rate; Models, Cardiovascular; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.568918
  • Filename
    568918