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研究生: 謝佳諼
HSUAN, CHIA-HSUAN
論文名稱: 利用漫反射光譜探討血液透析患者光學訊號型態及其與生理特徵之關聯
Investigation of Optical Signal Patterns and Their Associations with Physiological Characteristics in Hemodialysis Patients Using Diffuse Reflectance Spectroscopy
指導教授: 曾盛豪
Tseng, Sheng-Hao
學位類別: 碩士
Master
系所名稱: 理學院 - 光電科學與工程學系
Department of Photonics
論文出版年: 2026
畢業學年度: 114
語文別: 中文
論文頁數: 71
中文關鍵詞: 非侵入式漫反射光譜學血液透析吸收係數縮減散射係數
外文關鍵詞: Non-invasive, Diffuse Reflectance Spectroscopy, Hemodialysis, Absorption Coefficient, Reduced Scattering Coefficient
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  • 本研究利用微型化漫反射光譜系統,探討血液透析患者於治療過程中之動態光學訊號變化,並分析其與透析期間收縮壓波動之關聯。研究首先以仿人體組織假體驗證系統跨日穩定性,接著建立T1、T2與T3三時點臨床量測流程,並以嚴格品質控管篩選穩定之脈動光學訊號。臨床資料分析中,以收縮壓變異係數作為血壓波動指標,並建立由九項動態光學特徵組成之動態DRS分數。結果顯示,在通過嚴格品質控管之高品質資料中,動態DRS分數與收縮壓變異係數呈現顯著正相關,且此關聯於受測者層級抽樣分析中仍維持穩定。特徵精簡分析亦顯示,部分核心動態光學特徵仍保留與收縮壓波動相關之資訊。本研究結果顯示,微型化漫反射光譜系統具有作為血液透析期間局部組織光學變化與收縮壓波動輔助觀察工具之潛力。

    This study used a miniaturized diffuse reflectance spectroscopy(DRS)system to investigate dynamic optical signal changes in hemodialysis patients during treatment and to analyze their association with intradialytic systolic blood pressure fluctuation. Tissue-mimicking phantoms were first used to verify the between-day stability of the system. A three-time-point clinical measurement protocol, including T1, T2, and T3, was then established, and strict quality control was applied to select stable pulsatile optical signals. In the clinical data analysis, the systolic blood pressure coefficient of variation(SBP_cv)was used as the blood pressure fluctuation index, and a dynamic DRS score composed of nine dynamic optical features was constructed. The results showed that, in high-quality data passing strict quality control, the dynamic DRS score was significantly positively correlated with SBP_cv, and this association remained stable in subject-level resampling analysis. Feature reduction analysis further showed that several core dynamic optical features still retained information related to systolic blood pressure fluctuation. These findings suggest that the miniaturized DRS system has potential as a noninvasive auxiliary tool for observing the association between local tissue optical changes and systolic blood pressure fluctuation during hemodialysis.

    中文摘要 I 英文摘要 II 致謝 VI 目錄 VII 表目錄 IX 圖目錄 X 符號 XII 第1章 緒論 1 1.1 研究背景 1 1.2 文獻回顧 2 1.2.1 血液透析中的血壓波動與監測限制 2 1.2.2 非侵入式光學量測於生體動態監測之應用 4 1.2.3 漫反射光譜中的吸收與散射訊號 5 1.2.4 本實驗室相關研究與本研究定位 5 1.3 研究動機與研究目的 6 第2章 原理 8 2.1 漫反射光譜學(Diffuse Reflectance Spectroscopy, DRS) 8 2.2 蒙地卡羅(Monte Carlo Method) 9 2.3 人工類神經網路(Artificial neural network , ANN) 12 2.4 計算待測物吸收與縮減散射係數之流程 16 2.5 比爾朗伯定律(Beer - Lambert Law) 17 2.6 色團擬合(Chromophore fitting) 19 第3章 材料與方法 21 3.1 精密量測架構 21 3.2 微型化架構 22 3.3 基於仿人體組織假體之跨日穩定性驗證 25 3.3.1 仿人體組織之假體 26 3.3.2 假體跨日量測流程與穩定性評估 27 3.3.3 評估指標與資料分析方式 28 3.4 臨床量測流程與資料分析方法 29 3.4.1 臨床量測流程與三時點設計 29 3.4.2 訊號品質控管與資料納入標準 31 3.4.3 SBP_cv 動態DRS 分數分析方法 34 第4章 結果與討論 37 4.1 假體驗證結果 37 4.1.1 假體光學參數與IAD 參考值比較 37 4.1.2 假體跨日量測穩定性 38 4.2 臨床動態光學訊號與透析期間收縮壓波動之關聯分析 39 4.2.1 臨床資料納入與訊號品質門檻結果 39 4.2.2 動態DRS 分數與收縮壓變異係數之相關性及品質門檻比較 42 4.2.3 以受測者為單位之抽樣穩定性分析 46 4.2.4 嚴格品質控管下動態DRS 分數之次項精簡分析 48 第5章 結論與未來工作 52 5.1 結論 52 5.2 未來工作 53 第6章 參考文獻 56

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