臺灣博碩士論文加值系統

在這篇研究中，我們提供一套簡易型非侵入式裝置，藉由紀錄腕部脈波訊號來評估動脈硬化狀況。這項系統透過了經驗模態分解法(EEMD)以計算出兩項改良型的血管反彈指數(MRI)與血管硬化指數(MSI)。MRI與MSI在46位受測者中(35位男性、11位女性，年齡介於20到27歲)已受到證實。藉著MRI與MSI，只需要花幾幾分鐘時間並且可以自行在家操作，便能早期自我監測心血管病變與動脈硬化狀況。

In this study, we propose an easy-to-use noninvasive arterial stiffness assessment instrument that can be used to record the radial arterial pressure signals from the wrist. The system combines the ensemble empirical mode decomposition (EEMD) algorithm with the signals to derive a modified reflection index (MRI) and modified stiffness index (MSI). The performance of MRI and MSI was verified based on 46 subjects (35 men and 11 women, 20 to 27 years of age). Early self-monitoring of cardiovascular dysfunction and arterial stiffness can be easily and effectively achieved by MRI and MSI. Only few minutes are needed for conducting at home.

致 謝 I
摘 要 II
Abstract III
目 錄 IV
圖 目 錄 V
表 目 錄 VII
第1章 緒論 1
1-1 前言 1
1-2 簡易型手指PPG血管硬化評估文獻回顧 4
1-2.1 PPG偵測脈搏波之原理 4
1-2.2 以PPG波形評估動脈硬化的指標 7
1.2-3 RI與SI相關應用文獻探討 9
1-3 研究動機與目的 15
1-4 章節介紹 17
第2章 系統設計與非線性分析方法 19
2-1 腕部氣壓式脈波訊號擷取系統(via air pressure sensing system)介紹 19
2-1.1 硬體架構： 22
2-2 HHT理論基礎 25
2-2.1 希爾伯特黃轉換(Hilbert-Huang Transform,HHT) 25
2-2.2 經驗模態分解法 (Empirical Mode Decomposition¸EMD) 26
2-2.3 總體經驗模態分解法(Ensemble EMD,EEMD) 32
2-3EEMD解構實際應用 37
第3章 人體實驗方法 43
3-1受測族群與環境 43
3-2實驗量測流程 44
第4章 實驗結果分析 47
4-1量測重現性分析 47
4-2量測相關性分析 50
第5章 討論與結論、未來展望 53
5-1討論與結論 53
5-2未來展望 55
參考文獻 57

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