數(shù)字濾波器在ECG中的應(yīng)用

論文編號(hào):DZXX387 論文字?jǐn)?shù):14562,頁數(shù):41

摘要
 
 本文詳細(xì)敘述了數(shù)字濾波器在ECG中的應(yīng)用，探討了應(yīng)用數(shù)字濾波到心電圖機(jī)中并取得良好的效果。數(shù)字濾波器不僅抑制能力很強(qiáng)，其計(jì)算也十分簡單，十分適合于在基于計(jì)算功能有限的微處理器的心電圖機(jī)中應(yīng)用。在心電圖信號(hào)的測量中，存在很強(qiáng)的噪聲和干擾。這些干擾噪聲往往與信號(hào)的頻率相重疊。在有效地保存有用信號(hào)的情況下最大限度地抑制心電信號(hào)測量中噪聲，歷來就是技術(shù)上的一個(gè)難點(diǎn)。數(shù)字濾波器在數(shù)字圖像處理中早已得到廣泛的應(yīng)用，這種濾波器可以有效地消除噪聲而保留原信號(hào)的一些必要形狀特征。Chee Hung Henry Chu和Edward J.Delp提出了采用數(shù)字濾波器來消除ECG信號(hào)中的基線漂移和脈沖噪聲。試驗(yàn)結(jié)果清楚地表明，這些技術(shù)可以有選擇性地去除脈沖噪聲和基線漂移，同時(shí)避免了其它應(yīng)用硬件或軟件線性濾波器可能帶來的失真。
 
關(guān)鍵詞：數(shù)字濾波器，心電圖，噪聲，失真

Abstract

 The digital filter is discussed in this paper and it's application in electrocardiog
-ram is also presented. This linear filter has excellent capability in the removal of some kinds of common but important interference.Furthermore, much less calculation is needed in the digital filter morphology. Undoubtedly digital filter is perfectly fit for the application in the μP based ECG. There are many kinds of strong interference in the ECG measuring. Their frequency bandwidths often overlap with that of ECG.It has been a big problem to remove these interference while keep as much useful ECG as possible for many years. Digital filter form of filters in digital image processing has long been widely used, this non-linear filter can effectively eliminate the noise and retain the original signal of some essential features of shape. Chee Hung Henry Chu and Edward J. Delp made use of digital filter patterns filter to eliminate the baseline ECG signal drift and pulse noise. The results clearly indicate that these technologies can selectively remove impulse noise and baseline drift, while avoiding the application of other hardware or software Linear Filter possible distortion.

Key words：Digital filter，ECG，Noise，Distortion

目錄
摘要 I
Abstract II
第1章 緒論 1
1.1 MATLAB簡介 2
1.2  數(shù)字濾波器及其MATLAB實(shí)現(xiàn) 4
第2章 濾波器 6
2.1數(shù)字濾波器 6
2.1.1 系統(tǒng)的描述 6
2.1.2 系統(tǒng)的傳遞函數(shù) 7
2.1.3 基本結(jié)構(gòu)運(yùn)算單元 8
2.1.4 數(shù)字濾波器的工作原理 11
2.1.5 IIR濾波器的設(shè)計(jì)方法 12
2.1.6 IIR數(shù)字濾波器的設(shè)計(jì)過程及方法 13
2.1.7 模擬濾波器到數(shù)字濾波器的轉(zhuǎn)換 13
 2.1.7.1 脈沖響應(yīng)不變法 13
2.2 模擬濾波器設(shè)計(jì) 18
2.2.1 模擬濾波器的概念 18
2.2.2 模擬原型濾波器 19
2.2.3 模擬濾波器的特性 19
2.2.4 模擬濾波器的設(shè)計(jì) 21
2.2.5 巴特沃斯低通濾波器的設(shè)計(jì) 22
第3章 濾波器的實(shí)現(xiàn)和設(shè)計(jì) 23
3.1 濾波器 23
3.1.1 帶通濾波器 23
3.1.2 低通濾波器 23
3.1.3 高通濾波器 24
3.1.4 微分濾波器 25
3.2 低通濾波相關(guān)分析 25
3.2.1 低通濾波器分析 25
3.2.2 低通濾波后ECG信號(hào)的頻譜分析 26
3.3 高通濾波相關(guān)分析 27
3.3.1 高通濾波器的分析 27
3.3.2 高通濾波后ECG信號(hào)的頻譜分析 28
3.4 微分濾波相關(guān)分析 30
3.4.1 微分濾波器分析 30
3.4.2 微分后ECG信號(hào)的頻譜分析 31
第4章 總結(jié) 33
4.1 工作成果總結(jié) 33
致謝 34
參考文獻(xiàn) 35
附件 程序代碼 36