Development of the integration system of PPG and electrocardiogram signals─Application in the peripheral vessels

• Main Authors: Yung-Fu Hsu, 徐永富
• Other Authors: Ching-Sung Weng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/m924wq

碩士 === 中原大學 === 生物醫學工程研究所 === 98 === 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.