心臟就像是人體的馬達，當心臟停止跳動，及代表生命的結束。而由心臟所引發的疾病有很多，如心律不整、心肌梗塞、心肌肥大…等。近年來，經濟的發達，加上飲食文化的改變，促使國人飲食習慣西化，攝取過多高熱量、高脂肪及高糖分的食物，加上缺乏充足的運動，使得我們心血管疾病之致病率及死亡率近年來高居十大死亡原因之前三名，而且罹病年齡有年輕化之趨向。
檢查心臟，通常需要用醫院的心電圖檢查儀器來檢視心臟，醫生透過ECG信號之間微妙的差異來判斷病人是否罹患心臟病，但往往知道自己身體發出警訊時才到醫院做檢查，已經很嚴重了，因此如何隨時隨地掌握心臟的健康，這件事變的非常重要，所以我們設計出動態ECG電路並透過軟體偵測QRS特徵點，並將偵測出的訊息傳給醫生做分析，隨時掌握自己的健康。

The heart is as the motor of the human body and when it stops beating it represents the end of a life. They are many diseases caused by the heart such as arrhythmia, myocardial infarction and cardiac hypertrophy etc. In recent years due to the economic development and the change in diet culture make people’s diet westernized to excessive intake of high calorie, high fat and high sugar food; and furthermore due to the people’s lack of enough exercise it makes the morbidity and the mortality of the cardiovascular disease as the top three in the list of the ten causes of death in the statistics released in recent years and also the diseased ages tend to be younger.
When it needs to take some measures to examine the heart condition it usually needs to use ECG equipment in the hospital to generate the ECG signal; the doctor then reviews the tiny different among ECG signals to determine the patient having any problem in his heart. It is usually already quite serious of the heart condition when the patient realized that he has some problem in his body and went to the hospital to take examinations. It consequently becomes quite important for us to know and realize our heart condition anytime and anywhere. In this paper we design a dynamic ECG circuit to detect and determine the QRS locations in the ECG signal through software and then convey the detected information to the doctor for his analysis and consultation for having us to maintain a healthy condition anytime.

目錄
第一章	緒論	1
1.1 研究動機與目的	1
1.2 回顧	2
1.3 章節介紹	3

第二章	研究背景	4
2.1	心臟的傳導系統	4
2.2	心電圖簡介	5
2.2.1	心電圖功能與原理	6
2.2.2	心電圖組成...		8

第三章	研究方法	10
3.1小波理論	10
3.1.1小波多重解析度 	10
3.1.2小波特性與性質	12
3.2利用So and Chan擷取R波 	14
3.3取得Q波演算法 	16
3.3.1取得S波演算法 	17


第四章	硬體設計	18
4.1原始硬體架構	18
    4.1.1儀表放大器電路	18
    4.1.2 Notch Filter電路	19
    4.1.3低通濾波電路	21
4.1.4 ECG電路完成圖 	21
4.2改良後之硬體架構 	23

第五章	模擬結果與比較	27
5.1動態ECG量測結果	27
5.1.1經過So and Chan的模擬圖	29
5.2 Physionet資料庫介紹	31
5.2.1 Physionet資料庫效能分析 	32

第六章	結論與未來展望	35


參考文獻	37


圖目錄

圖1.1   心電圖ECG之QRS示意圖	1
圖2.1   心臟傳導示意圖(國立台灣科學教育館)	4
圖2.2   心電圖	5
圖2.3   標準肢體誘導連接方法(圖形天下)	7
圖2.4   心電圖PQRST示意圖	9
圖3.1   小波轉換對訊號多重分解示意圖	11
圖3.2   小波轉換一階濾波示意圖	12
圖3.3   小波母函數bior5.5	13
圖3.4   So and Chan 流程圖	15
圖3.5   找Q波流程圖	16
圖3.6   找S波流程圖	17
圖4.1   儀表放大器電路圖	19
圖4.2   Notch Filter電路圖	20
圖4.3   低通濾波電路圖	21
圖4.4   儀表放大器實作圖	22
圖4.5   Notch和Low Pass Filter實作圖	22
圖4.6   ECG訊號實際量測圖	23
圖4.7   兩點式ECG電路圖	24
圖4.8   AD620腳位圖	25
圖4.9   兩點式量測法之實作圖	26
圖4.10  兩點式量測法實際量測圖	26
圖5.1   原始動態ECG訊號	27
圖5.2   小波一階低頻	28
圖5.3   小波一階高頻	28
圖5.4   二階與三階小波轉換低頻部分	29
圖5.5   經過差分後的圖形	29
圖5.6   R點位置圖	30
圖5.7   S點位置圖	30
圖5.8   Q點位置圖	31
 


表目錄
表5.1  誤差整理比較表	32
表6.1  動態ECG QRS實際量測點	36

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