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研究生:許宏維
研究生(外文):Hung-wei Hsu
論文名稱:發展一套周邊血管病變監控系統-使用近紅外光技術
論文名稱(外文):Development of a Peripheral Vasculopathy Monitoring System with NIR Technique
指導教授:陳天送陳天送引用關係
指導教授(外文):Tain-song Chen
學位類別:碩士
校院名稱:國立成功大學
系所名稱:醫學工程研究所碩博士班
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2008
畢業學年度:96
語文別:中文
論文頁數:67
中文關鍵詞:光脈式血氧計微循環光體積變化描述波形糖尿病
外文關鍵詞:microcirculationDiabeticpulse oximeterphotoplethesmography
相關次數:
  • 被引用被引用:1
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
周邊血管病變是一種常見的糖尿病患周邊症狀,隨著台灣高齡化社會的來臨,老年人罹患糖尿病的比例更是逐年升高。其中,病患的足部血管病變,更是容易導致糖尿病足及其相關感染的產生。所以建構一套非侵入式的周邊血管監控系統,來監控周邊血管病變是相當重要的課題。本研究主要目的在利用光電技術,建立一套以光體積變化描述波形(PPG)與血氧濃度計(SaO2)為基礎的非侵入式微循環量測系統,並透過此系統來監控糖尿病患足部血管流量與血氧濃度的變化,來推論足部末梢血管微循環狀態,或是否有周邊動脈阻塞性疾病的症狀發生。本研究主要可分為兩個部份,第一個部分為雙通道微循環量測系統之硬體架設,欲藉由此系統同時量測左右兩側足部微循環流量與血氧的變化。第二部份是實際應用於人體足部末梢微循環量測,利用自行設計的近紅光系統,可以穩定擷取血量與血氧變化的訊號。在實際病患量測結果分析上發現,利用左右兩腳PPG波形與病患心電圖訊號(ECG),所產生左右兩側差異的時間參數△PTTp與△PTTf,可以明顯地判斷出足部末梢是否有血管病變的現象(P<0.05);但血氧濃度計(SaO2)參數上,並無統計差異。
Peripheral vasculopathy has been a very common symptom of many diseases, especially diabetes mellitus that is prevalent in the developed and developing countries worldwide. Because diabetic vasculopathy may cause diabetic foot and osteomyelitis, a noninvasive monitoring instrument for early detection and accurate diagnosis of peripheral vascular abnormalities like microcirculation or oxyhemoglobin saturation in diabetes is important. The aim of this study is to apply photo-electronic technology to develop a non-invasive measurement system for measuring microcirculation based on photoplethesmography (PPG) and arterial oxyhemoglobin saturation (SaO2). With this system, we could monitor the changes of blood volume and blood oxygenation in the lower limbs of diabetes. This research was mainly divided into two parts: First, a dual-channels measurement system was set up. We expected it could be applied to monitor the changes of blood volume and blood oxygenation both collected simultaneously from the right and left lower limbs. Secondly, we measured the microcirculation signals of human extremities. Till now, the self-designing non-invasive measurement system for microcirculation could detect the changes of blood volume and blood oxygenation in lower limbs. We also found there was a significant difference between the bilateral sites in terms of the physiological parameters (△PTTp and△PTTf) that were calculated by measuring the pulse timing difference between pulse peaks in the PPG and ECG signals. This result could be a potential tool for early determine whether the diabetic patients have diabetic vasculopathy.
目錄
中文摘要................................... ..............I
英文摘要.................................................II
誌謝....................................................III
目錄.....................................................IV
表目錄索引..............................................VII
圖目錄索引.............................................VIII
第一章 緒論.............................................1
第 1-1 節 前言............................................1
第 1-2 節 研究動機........................................2
第 1-3 節 文獻探討與回顧..................................4
第 1-3-1 節 光體積變化描述波形應用在微循環研究的進
展.....................................4
第 1-3-2 節 血氧飽和濃度應用在微循環研究的進展.....7
第 1-4 節 研究目的與方法.................................8
第 1-5 節 論文架構.......................................9
第二章 生理訊號量測與原理.............................10
第 2-1 節 心電圖概論.................................10
第 2-2 節 皮膚組織光學特性...........................12
第 2-3 節 光體積變化描述波形概論.....................14
第 2-4 節 血氧飽和濃度概論...........................16
第 2-4-1 節 血氧飽和濃度定義......................16
第 2-4-2 節 Beer-LambertsLaw......................17
第 2-4-2 節 血氧飽和濃度推導計算..................18
第三章 光學量測系統設計與驗證.......................21
第 3-1 節 多通道循環光學量測系統架構................21
第 3-1-1 節 光源元件.............................22
第 3-1-2 節 光感測元件...........................24
第 3-2 節 硬體設計..................................25
第 3-2-1 節LED驅動電路...........................25
第 3-2-2 節 光電晶體感測與分離電路...............27
第 3-2-3 節 放大器與濾波器電路...................28
第 3-2-4 節 心電圖訊號擷取系統...................30
第 3-2-5 節 感測探頭.............................30
第 3-2-6 節 訊號擷取.............................32
第 3-3 節 軟體設計..................................33
第 3-4 節 系統驗證...................35
第 3-4-1 節LED波長之驗證.......................36
第 3-4-2 節 濾波器之驗證.........................37
第四章 實驗結果與討論......38
第 4-1 節 光脈式血氧濃度機校正.....................38
第 4-2 節 實驗流程.................................40
第 4-3 節 微循環訊號...............................41
第 4-3-1 節 訊號分析............................41
第 4-3-2 節 量化參數評估........................44
第 4-3-2-1 節 微循環參數.....................44
第 4-3-2-2 節 正規化的波形顯示...............45
第 4-4 節 足部微循環參數與量化指標.................46
第 4-4-1 節 正常受測者之微循環參數與量化指標....46
第 4-4-2 節 糖尿病患者之微循環參數與量化指標....47
第 4-4-3 節 全部受測者微循環參數與ABPI值比較...50
第 4-5 節 個體兩側差異的分析.......................54

第五章 結論與未來展望.................................59
第 5-1 節 結論.....................................59
第 5-2 節 未來展望.................................62
參考文獻.................................................63
附錄A...................................................66
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