Spectral analysis of the blood circulation based on the viewpoint of resonance

[[abstract]]In this paper, we present a novel idea for analyzing blood circulation that is viewed as an electrical-driving, mechanical-pumping mechanism. Considering the electrocardiogram (ECG) and blood pressure wave (BPW) as the input and output signals of the system, we aim to quantify the spectral behavior of blood circulation from the viewpoint of resonance. First, the power spectrum of the ECG coincides well with that of the BPW for healthy subjects, but deviates significantly from the BPW’s for vascular patients. Second, bispectral analysis demonstrates a strong phase coupling between ECG and BPW in healthy subjects and a weaker coupling for subjects with vascular problems. Third, the transfer function for healthy subjects exhibits a flatter magnitude than that for patients. In addition, we propose a resonance circuit model of the spectral domain to represent blood circulation. The quality factor also exhibits better resonance characteristics for the healthy group than for the patient group

[[alternative]]網路中醫脈診與資訊系統之研發

[[abstract]]近年來隨著科技進步和電腦網路的普及，使得醫療更加注重於數據的顯示，本研究以網路中醫脈診系統之研發為主，量測寸、關、尺三部脈波，透過網路即時傳送，經由訊號分析技術與資訊化數據資料庫加以輔助，使醫生的臨床診斷更加方便、結果更加準確。Due to the rapid progress in technology and computer network, scientific data is more important in medical treatment. We developed a pulse diagnosis and information system of Chinese Medicine on network. By transporting the pulses of Chun, Guan and Chy through network, the doctor can acquire the pulse signal more conveniently. In addition, signal analysis technique and information database can be used to improve the clinical diagnosis

Spectral Analysis of the Pulse for Diagnosis in Chinese Medicine

[[abstract]]Due to the great difference of psd(power spectral density) between normal persons and patients, the spectrum analysis of the blood pressure wave(BPW) of artery at hand, i.e. the diagnosis pulse of Chinese Medicine, is presented in this paper. Therefore, it is inevitable to compare the various methods of psd estimation such as periodogram, Welch, Burg and Yule-Walker. Finally, the transfer function which is an important frequency characteristic between input-output relation is calculated and shows some specific feature among healthy and illness persons

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

[[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

System analysis of the blood circulation based on the coherence power transfer: from electrical driving to mechanical vibration

[[abstract]]We analyze blood circulation based on the basis of the system viewpoint and coherence power transfer from electrical energy (ECG) to mechanical power (blood pressure wave). The coherent oscillation between the driving signal and the vibration of the cardiovascular system is investigated by coherence function and the perturbations of the system are found. In addition, we develop a mathematical equation to describe the phenomenon. The average peak coherence value S for the first five harmonics is utilized as an index to quantify the power coherence effect. The evaluated p-value (< 0.01) reveals that the distinction of power coherence between the healthy subjects and cardiovascular patients is significant. Consequently, we conclude that if the S approaches a value close to one, the output is almost completely attributed to input and fewer perturbation signals influence the system; therefore, the cardiovascular system stays in a better condition. Conversely, if S approaches a value less than one, larger perturbations will worsen the cardiovascular system condition