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研究生: 林佳鈺
Lin, Jia-Yu
論文名稱: 脈搏波中有關心血管之訊號分析
Signal Analysis on Radial Artery Pulse Wave Related to the Cardiac Condition
指導教授: 尤芳忞
Yu, Fang-Min
學位類別: 碩士
Master
系所名稱: 工學院 - 航空太空工程學系
Department of Aeronautics & Astronautics
論文出版年: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 58
中文關鍵詞: 快速傅立業轉換響應頻率拆解脈聲儀系統非侵入式
外文關鍵詞: Frequency Response, Non-Invasive, Decompositions, Sonocardiography System, Fast Fourier Transform
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  • 本論文旨在研究一套適合利用人體脈搏波來分析人體血液動力狀況的技巧,並且在人體體外使用非侵入式(Non-Invasive)的探測法,由本研究室所研發之脈聲儀系統(Sonocardiography System)做為初步的脈摩波數據收集系統分析。實驗證明人體脈搏波經由分析後可以得到0.5~15 Hz 的有效響應頻率(Frequency Response)強度與相位(Phase),且有12個主頻諧波(Harmonic Waves)。本研究是探討人體脈搏波的物理意義以及使用快速傅立業轉換(Fast Fourier Transform)拆解(Decompositions)人體脈波,得知拆解波形後的頻譜分析所代表的生理意義與反應,以及加以探討人體心臟瓣膜閉鎖不全(Valvular Heart Disease/Heart Valve Insufficiency)的血液流體所造成的心絞痛(Angina Pectoris),以及血管窄化所表現出的脈搏波特性頻譜曲線,最後利用頻譜能量率(Spectral Energy Ratio)觀察各動作所造成的生理變化。

    The purpose of this research is to study a set of techniques which could use the artery pulse waves to analyze the hemodynamic of body. This research uses the Non-Invasive exposition outside of body to collect the rudimentary data through a Sonocardiography System which was developed by professor Yu in Institute of Aeronautics and Astronautics. After the analysis, the experiment data shows that there are 12 harmonic waves within the range of 0.5~15 Hz through the pulse decompositions by Fast Fourier Transform. On analyzing the frequency spectrum after the pulse decompositions, it can be observed the significance of the corresponding physiology, which includes the angina pectoris’ blood fluid which is caused by Valvular Heart Disease/Heart Valve Insufficiency and the frequency spectrum of pulse characteristics that vascular sclerosis present. Finally, the Spectral Energy Ratio is used to observe changes that each action brings out.

    中文摘要 i Abstract ii 致謝 iii 表目錄 vi 圖目錄 vii 符號說明 ix 第一章 緒論 1 1-1前言 1 1-2研究動機與目的 2 1-3共振理論(Frequency Resonance Theory) 3 第二章 實驗方法與理論分析 7 2-1設備與操作方法 7 2-2脈波頻譜分析 8 2-3 快速傅立葉轉換(FFT:Fast Fourier Transform) 9 2-4 修正型單調性三次方分段內插法 10 2-5 疊代式濾波器法 12 2-6 低誤差傅立葉正弦頻譜法 16 2-7小波法-Morlet轉換式 19 2-8 強化的Morlet轉換式 21 2-9 希爾伯特(Hilbert)轉換式 21 2-10 Gabor轉換式 22 2-11 新時頻圖(spectrogram)產生器 23 2-12 頻譜能量率(SER:Spectral Energy Ratio) 26 2-13 脈波重建 27 第三章 結果與討論 28 3-1 脈波物理意義 28 3-2 頻譜能量分析意義 29 3-3 模擬人體波形 31 3-4 一般人與心臟瓣膜閉鎖不全之差異性 31 3-5 頻譜能量率的應用 33 第四章 結論與建議 35 4-1 結論 35 4-2 建議 37 參考文獻 38

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