心臟與動脈系統間頻率匹配與同調效應用於中醫診斷之研究

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Title:	心臟與動脈系統間頻率匹配與同調效應用於中醫診斷之研究
Authors:	魏清泉
Contributors:	資訊學院資訊與通訊學系
Date:	2006
Issue Date:	2010-05-13 07:40:32 (UTC+0)
Abstract:	在先前的研究中，我們提出一個新的觀點來分析血液循環，也就是將血液循環系統視為一個電激發的機械振動系統，把ECG 與 BPW(血液壓力波)視為此系統的輸入與輸出，我們定義了頻譜耦合係數(Coupling coefficient)來評估頻率匹配(諧振)的狀態，並計算同調函數(Coherence function) ，衡量輸入(心臟) 與輸出(動脈系統) 間同調及擾動的程度，在接下來的研究中，不局限於心血管相關疾病，我們希望將上述的分析方法用在中醫的診斷，並選擇特定的疾病如肝病來討論。預計量取四十位肝病患者的ECG 及BPW 信號，經臨床中醫師的辨症分類為(1) 肝氣鬱結、肝火上炎、肝膽溼熱,或(2) 肝血虛、肝風內動、肝陰虛、肝陽上亢,或(3) 寒滯肝脈等三大類，再由頻率匹配(或頻譜耦合係數)狀況及同調函數來判斷肝病患者屬於哪一類，比較上述兩種方法其分類結果相符合的比例，以作為評估頻率匹配及同調函數是否適用於中醫診斷的依據。 Study of the application of frequency matching and coherence effect between heart and arterial system on the diagnosis of Chinese medicine In previous research, we presented a novel idea for analyzing blood circulation that is viewed as an electrically-driven, mechanical-pumping mechanism. Considering the ECG and blood pressure wave (BPW) as the input and output signals of the system, we quantify the spectral behavior of blood circulation from the viewpoint of frequency matching (coupling coefficient) and coherence effect (coherence function). For present study, we intend to apply these methods to the diagnosis of Chinese Medicine, and focus on the disease of liver problem. Forty patients’BPWs and ECGs will be detected and classified into three categories according to the diagnosis of clinical doctor of Chinese medicine. On the other hand, we classify the patients according to the coupling coefficient and coherence function. Comparing the classification results of the above two methods, we assess whether the coupling coefficient and coherence function can be applied in the diagnosis ofStudy of the application of frequency matching and coherence effect between heart and arterial system on the diagnosis of Chinese medicine In previous research, we presented a novel idea for analyzing blood circulation that is viewed as an electrically-driven, mechanical-pumping mechanism. Considering the ECG and blood pressure wave (BPW) as the input and output signals of the system, we quantify the spectral behavior of blood circulation from the viewpoint of frequency matching (coupling coefficient) and coherence effect (coherence function). For present study, we intend to apply these methods to the diagnosis of Chinese Medicine, and focus on the disease of liver problem. Forty patients’BPWs and ECGs will be detected and classified into three categories according to the diagnosis of clinical doctor of Chinese medicine. On the other hand, we classify the patients according to the coupling coefficient and coherence function. Comparing the classification results of the above two methods, we assess whether the coupling coefficient and coherence function can be applied in the diagnosis of Chinese Medicine. Chinese Medicine.
Appears in Collections:	[Department of Photonics and Communication Engineering] Ministry of Science and Technology Research Project

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