Title page for etd-0619101-192526


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URN etd-0619101-192526
Author Ju-Ja Lai
Author's Email Address m8824613@student.nsysu.edu.tw
Statistics This thesis had been viewed 5070 times. Download 2441 times.
Department Applied Mathematics
Year 2000
Semester 2
Degree Master
Type of Document
Language English
Title Statistical Monitoring of Risk Factors for VICU Patients through Spectral Analysis of Heart Rate Variability
Date of Defense 2001-06-01
Page Count 55
Keyword
  • Parasympathetic Nerve
  • Shewhart control chart
  • Abstract Spectral analysis of heart rate variability (HRV) has been applied
    in many medical research to study autonomic nervous system
    activity. In these studies, the researchers found that (i) ratio
    of low frequency (LF) to high frequency (HF) spectrum power is a
    useful measure of sympathetic/parasympathetic balance, and (ii)
    low heart rate variability is an important risk factors for
    patients. Therefore, continuous monitoring of the ratio and heart
    rate variability have the potential to early detect physiological
    deterioration of patients. This thesis consists of the following
    two parts. In the first part, we establish control charts
    monitoring heart rates and low HRV. Numerical method is applied
    to compute exact control limits of the EWRMS and EWMV charts. The
    distribution of the conventional LF/HF ratio statistic is
    difficult to derive, significant of alterations in HRV parameters
    can not be assessed efficiently. We resolve this problem in the
    second part, a new equivalently useful ratio statistic is proposed
    whose distribution can be derived more easily. Based on the
    derived distribution, the probability control limits of the
    proposed statistic are calculated. In application, we construct
    Shewhart charts of the newly proposed ratio statistic and EWRMS,
    EWMV charts of the heart rate variability to monitor the risk
    factors of patients in vascular intensive care unit. Furthermore,
    we define a risk score which combining the two risk factors
    together, heart rate variability and LF/HF spectrum power ratio.
    The results show that the higher risk scores corresponding to
    patients after operation in severer condition.
    Advisory Committee
  • Mong-Na Lo - chair
  • Chia-Yee Liu - co-chair
  • Kai-Sheng Hsieh - co-chair
  • Meihui Guo - advisor
  • Files
  • etd-0619101-192526.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2001-06-19

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