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研究生:林泓志
研究生(外文):Hong-Jhih Lin
論文名稱:以模糊邏輯法分析心電圖的心跳種類
論文名稱(外文):Heartbeat Case Determination Using Fuzzy Logic Method on ECG Signals
指導教授:葉雲奇廖裕評廖裕評引用關係
指導教授(外文):Yun-Chi YehYu-Ping Liao
學位類別:碩士
校院名稱:清雲科技大學
系所名稱:電子工程所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:59
中文關鍵詞:MIT-BIH心律不整資料庫模糊邏輯心電圖信號
外文關鍵詞:MIT-BIH arrhythmia databaseFuzzy LogicECG signals
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本篇論文包括 “心電圖信號分析”、“主要特徵點的選擇”及“模糊邏輯”三大研究主題。研究主題一是心電圖信號分析,以DOM (Difference Operation Method) 法偵測心電圖(ECG)信號中的QRS 複合波、T波、P波的位置。本主題分成三個步驟,分別是:(1)將待測試的ECG信號作 “差分運算”,其目的是要找精準的R波位置;(2)以R波位置為基準,往R波的前方向找Q波,往R波的後方向找S波,其目的是要找到QRS 複合波;(3)找T波、P波。研究主題二是以區間交集法 (Rang-Intersection method) 選擇主要特徵點。研究主題三是以模糊邏輯 (fuzzy logic) 判斷心律不整。本論文能判斷的心律,包含:正常的心跳(NORM),及不正常的心跳。不正常的心跳包含LBBB、RBBB、VPC、APC、及PB等五種較常發生的心律。最後,我們再以MIT-BIH 心律不整資料庫中的ECG信號來評估本主題中所提出方法之效能,結果心律之正確判斷率是90.72%。

In this dissertation, some efficient algorithms in three related research topics about ECG signals will be presented and discussed. In the first research topic, a simple method, called the Difference Operation Method (DOM), is proposed to detect the QRS complex of an electrocardiogram (ECG) signal. The proposed DOM includes three stages. The first stage is to find the point R by applying the difference equation operation to an ECG signal. The second stage looks for the points Q and S based on the point R and then finds the whole QRS complex. The three stage looks for the points T and P waves based on the QRS complex. In the second research topic, the reliable method called Range-Intersection method for feature selection of ECG signals. In the third research topic, one method, named “Fuzzy Logic Method (FLM)”, is applied for classifying the cardiac arrhythmia on ECG signals. The proposed methods can accurately classify the normal heartbeats and abnormal heartbeats. Abnormal heartbeats include Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), Ventricular Premature Contractions (VPC), Atrial Premature Contractions (APC) and Paced Beat (PB). The proposed methods were evaluated using the MIT-BIH arrhythmia database, the total classification accuracy is 90.72% for FLM method.

摘 要 i
Abstract ii
誌 謝 iii
目 錄 iv
表 目 錄 vi
圖 目 錄 vii
第一章 簡介 1
第二章 QRS複合波的偵測 3
2.1 ECG信號的前置處理 3
2.1.1 前置放大器 3
2.1.2 雜訊的去除 3
2.2 R波的偵測 4
2.3 Q波的偵測 10
2.3.1 設定Q波的合理搜尋範圍 10
2.3.2 第一次修正的Q波檢查範圍 10
2.3.3 第二次修正的Q波檢查範圍 12
2.3.4 Q點位置的選取 14
2.4 S 波的偵測 16
2.4.1 設定S波的合理搜尋範圍 16
2.4.2 第一次修正的S波檢查範圍 16
2.4.3 第二次修正的S波檢查範圍 18
2.4.4 S點位置的選取 19
2.5 T波與P波的偵測 20
第三章 特徵點之定義與特徵值之計算 21
3.1 特徵點的定義 21
3.2 特徵值的統計 24
3.3 各種心跳病症分類之特徵值的統計與分析 29
3.3.1 心跳病症分類1: NORM(正常) 30
3.3.2 心跳病症分類2: LBBB(左束分支阻斷) 31
3.3.3 心跳病症分類3: RBBB(右束分支阻斷) 32
3.3.4 心跳病症分類4: VPC(心室過早收縮) 33
3.3.5 心跳病症分類5: APC(心房過早收縮) 34
3.3.6 心跳病症分類6: PB(Paced beat) 35
第四章 特徵點選取 (Feature selection) 36
4.1 特徵值範圍Ri,j 37
4.2 特徵點的選取 38
4.3 Ni的排序 40
4.4 主要特徵點的選取 40
4.5 選取下一個主要特徵點 41
4.6 主要特徵點與特徵值範圍 41
第五章 模糊邏輯法分析心電圖的心跳種類及性能評估42
5.1 模糊邏輯法(Fuzzy Logic Method) 42
5.2 性能評估 50
第六章 結論與未來展望 57
參考文獻 58
簡 歷 60


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