本實驗室藉由血行動力學以及脈診理論開發出血行動力儀，以高敏感度的電容式麥克風收取手腕橈動脈處之脈搏聲波訊號。此訊號中包含著心血管系統與其他生理狀況意涵，本次實驗室將收錄之聲音訊號藉由頻譜估計方法找尋其變化特徵趨勢。由共振理論可得知心臟相關之訊號經由時頻轉換後位於0.8~2.5Hz之間。將患有心臟瓣膜疾病與健康受測者之五分鐘聲波數據濾波後，由頻譜估計方法welch以及burg建立其AR迴歸模型。再將其病患各瓣膜病變程度與其頻譜特徵出現與否作相關性比較。結果在二尖瓣閉鎖不全上，其頻譜特徵有著較高的相關性，其次為三尖瓣閉鎖不全。血行動力儀具備了方便與易於判讀之特性，可以用來協助臨床基層醫療人員對於心臟瓣膜疾病初步的簡易評估，甚至是一般民眾在日常生活中用於居家的自我檢測。

The development of Non-Invasive Hemodynamic Analyzer (NIHD) is based on the hemodynamics theory and the pulse-diagnosis theory. The condenser microphone was used for measuring the acoustic pulse wave signal at the wrist radial artery. The acoustic signal contains some information of the cardiovascular system and physiological conditions. The purpose of this research is dismantling the signal collected from heart valve diseases patients, and finding the feature of disease. I use the Welch and Burg method which established by spectral estimation and then try to find the relationship between spectral characteristic and different valve diseases. The results show that mitral valve regurgitation has the most high correlation to spectral characteristics and tricuspid valve regurgitation was the second. Hemodynamic Analyzer instrument is convenient and easy to interpret the features. It can be used to assist in clinical primary care staff for valve heart disease simple preliminary assessment, even ordinary people in everyday life self-testing.

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