在本篇論文中,將針對心電圖中P波頂點至QRS波頂點之間距,簡稱P-R區間,
進行研究及分析。我們收集到的資料,分為兩個年齡層:一個月之內與一個
月至兩歲,結果發現P-R區間進行一次差分後,其自我相關係數與一階移動
平均模型的ACF有相同的結構。因此,我們應用時間序列中時間領域的方
法 ,建立P-R區間的一階整合移動平均模型,並將模型所估計出的係數稱為
轍數,進而利用變異數分析的方法,來區分正常與有病嬰幼兒的差異。研究
結果發現無論年齡層為何,正常與有病的轍數皆有顯著差異。文中亦發現,
一般醫學所定義的P-R波與本文的P-R區間,具有相同的ARIMA(0,1,1)模型,
並且二者具有相當強的線性關係;所以,就醫學上的使用價值而言,我們認
為其差異不會太大。

In this thesis, by using time series analysis and ANOVA
nalysis, we study the P-R interval of ECG, which is defined
ashe interval between the adjacent peaks of P-wave and QRS-wave.
he data collected are divided two groups according to
thehildrens'' age, that is, within one month and one month to
twoear-old. We apply the method of the time domain in time
serieso build an ARIMA(0,1,1) model, furthermore, the
estimatedoving average coefficient is named "rut" for
simplicity. Weake further research by using the method of ANOVA
toistinguish normal and abnormal children. The results reveal
thathere are significant differences between normal and sick2
ildren, no matter which age group they belong to. In thisaper,
we also find that the traditional medical terminology forR-wave
has the same ARIMA(0,1,1)model, and there exists stronginear
relation between these two terms.