結合光體積描記圖及心電圖訊號之系統開發─週邊血管之應用

本研究之目的最主要為發展出一套結合光體積描記法以及心電圖之多通道生理訊號分析系統，並應用於比較週邊動脈血管阻塞與正常人之心血管、脈波參數，藉此得知本系統量測方式是否可以在各特徵參數中觀察到其差異性，而確切反映受出測者之心血管狀態，並加以探討。在系統方面，前端類比訊號擷取以Lead I心電擷取電路、血氧濃度擷取電路為主，將取得之訊號透過MSP430微控器當作ADC，爾後經藍芽無線傳輸至軟體端，並透過數位濾波器FIR再次將訊號做濾除雜訊，以及使用Tompkins 演算法、脈波微分法取出各特徵點，並由自行開發之介面來做生理訊號之儲存與特徵參數計算。在實驗方面，本研究蒐集週邊動脈阻塞病患與健康成年人各10名，藉由此系統擷取訊號並計算出心血管參數，再透過t-test分析找出患者與正常人間之差異性。結果顯示，週邊動脈阻塞患者在參數統計上與正常人相比有較高之脈波傳導時間(PTTf, PTTp, RT)、主波峰角(∠P)以及較低之脈波始射角(∠U)、脈波振幅(Amp)。針對上述各參數來探討，可發現兩組心血管特性之不同，證實光體積描記圖及心電圖訊號之結合不僅可以用於動脈硬化之檢測，更可以偵測動脈阻塞之情況，並加以預防。

關鍵字

血氧飽和濃度；藍芽傳輸；心血管參數；心電圖

並列摘要

The main purpose of this study was to develop a set of analysis system of multi-channel physiological signals that integrated optical plethysmography and ECG signals. In this study, we not only developed the system, but also compared the parameters and investigated the difference between peripheral arterial occlusive disease (PAOD) patients and normal people. In the development of the system, front analog signal acquisition was mainly combined Lead I ECG circuit and oxygen concentration circuit to retrieve physiological information, and we also improved ECG acquisition mode from three to two electrodes. Then the MicroController Unit (MSP430) was used to receive these signals and to do analog-to-digital conversion. Further, these digital signals transferred to PC through Bluetooth module with Asynchronous Receiver/Transmitter (UART). These signals were filtered again by digital Finite Impulse Response Filter (FIR) and utilized Tompkins algorithms of ECG, differential method of pulse wave signals to acquire Feature points. After finishing above process, we would pass through the self-developed interface to achieve the data storage and calculation of characteristic parameters. In the clinical experiments, a total of 10 PAOD patients and 10 healthy adults were recruited. By means of this system, we could obtain individual physiological signal and calculate cardiovascular parameters. Thereafter the data were analyzed by t-test statistical analysis to find out the difference between patients and normal people. The results showed that statistical parameters of the PAOD patients compared with that of the normal subjects had higher values of pulse transit time (PTTf, PTTp, RT), higher main peak angle (∠ P), lower pulse upstroke angles (∠ U) and lower pulse amplitude (Amp). With the above parameters, we could determine the different cardiovascular characteristics between patients and normal people. In this study, we showed that the combination of plethysmography and ECG signals not only could detect atherosclerosis but also assess arterial occlusion.

並列關鍵字

ECG ； SpO2 ； cardiovascular parameters ； Bluetooth transmission

參考文獻

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結合光體積描記圖及心電圖訊號之系統開發─週邊血管之應用

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