Title page for etd-0627100-181353


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URN etd-0627100-181353
Author Chih-Yuan Chen
Author's Email Address chency@ibm7.math.nsysu.edu.tw
Statistics This thesis had been viewed 5069 times. Download 2438 times.
Department Applied Mathematics
Year 1999
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Classification analysis of ECG
and study on the ratio of low frequency spectral powers to high frequency spectral powers of RR intervals
Date of Defense 2000-06-02
Page Count 104
Keyword
  • ECG
  • Logistic Regression
  • Parasympathetic Nerve
  • Abstract   In the thesis, we study the data collected from VICU of Kaohsiung Veterans General Hospital.The data consists of the following two
    kinds. The data of the first kind is ten minute ECG data with sampling frequency 500Hz. The data of the second kind is long term one minute average heart rate. There are two main topics
    studies in this thesis. In the first part, we consider the standard deviations which be taked log and medians of RR intervals, PR intervals and RT intervals, respectively derived from first kind data. By considering the odds ratio、sensitivity and specificity, and we select the heart classification vectors. The object is to classify among normal and ventricular heart disease (VSD), normal and ventricular heart
    disease with congestive heart failure (VSD+CHF). We proposed a method of both variables and two-step classification procedure. Furthermore, we built the logistic regression models. In the second part, we derive the distribution of the spectrum power ratio of low frequency to high frequency. Shewhart control chart and Tabular cusum chart are constructed to monitor RG. Also, we discover the periodicity of RG. Finally,
    there exists positive correlation between RA(or RG) and autocorrelation of lag one of RR interval.
    Advisory Committee
  • Mong-Na Lo Huang - co-chair
  • Kai-Sheng Hsieh - co-chair
  • Meihui Guo - advisor
  • Files
  • m8724603.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2000-06-27

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