本文是針對由高雄榮民總醫院新生兒加護病房、小兒科加護病房與心臟外科加護病房所蒐集之心電圖資料進行統計分析資料型態分為取樣頻率為500Hz連續10分鐘的第一類資料與長時段取樣頻率為一分鐘的第二類資料。本論文主要探討兩個問題：第一部份是利用第一類資料的RR區間、PR區間與RT區間個別之樣本均方差之對數值與樣本中位數進行判別分析及邏輯斯特迴歸模型分析。其中我們利用Odds Ratio、敏感性與特異性來選取最佳的判別變數及採用雙變數和二階段方法，來判別正常、心室中隔缺損與心室中隔缺損併發心臟衰竭三種不同群體之病人。最後並採用雙變數來進行邏輯斯特迴歸模型之分析。在第二部份中，我們推導出RR區間的高低頻譜功率比值（RA及RG）之極限分佈。此外我們從第二類資料的RG的Shewhart控制圖與累積和控制圖可有效反應其恢復情況之差異。我們也發現病人的RG存在週期性。最後，由第一類資料也發現（RA
及RG）與第一階自我相關係數存在正相關。

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.

1.前言
2.基本認識與資料介紹
2.1 心臟疾病
2.2 資料介紹與處理
3.判別分析與邏輯斯特迴歸模型
3.1 背景與目的
3.2 判別分析
3.3 邏輯斯特迴歸模型
3.4 實證結果
4.RR區間高低頻譜功率比值的研究與應用
4.1 研究背景
4.2 高低頻譜功率比值的統計量
4.3 高低頻譜功率比值與年齡之關係
4.4 高低頻譜功率比值與手術後病人恢復情況
4.5 手術後病人二十四小時之高低頻譜功率比值的週期性
4.6 自我共變異相關係數與頻譜分析之關係
5.結論

.1 附圖
.2 附表

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