Integration of Heart Sound and Electrocardiogram in the Evaluation of Heart Failure

• Main Authors: Kuan-Wei Chen, 陳冠瑋
• Other Authors: Ching-Sung Weng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/564h5u

碩士 === 中原大學 === 生物醫學工程研究所 === 98 === The purpose of this research was to develop a Phonocardiogram(PCG) and Electrocardiogram(ECG) measurement and analysis system, and we could measure PCG and ECG singnals to diagnose heart failure. We used two major of Framingham criteria which are gallop rhythm and left ventricular hypertrophy(LVH). In this study, we used electret condenser microphone to measure heart sound, and we examined LVH by using V1, V5 and V6 according to Sokolow criteria. With non-invasive examination through PCG and ECG, we could save time and medical cost, and auxiliary diagnosis of heart failure in effect. Regarding to hardware, PCG and ECG signals were proceeded amplification and filtering, and we use TI MSP430 to proceed 12 bit analog-to-digital converter and Universal Asynchronous Receive/Transmit. Finally, we used PL-2303HXD data communication controller to transfer digital signal to computer. In the clinical experiment, fifteen heart failure patients and fifteen healthy adults without cardiovascular disease were recruited, we measured subjects PCG signal and ECG signal by the PCG and ECG parameters measuring instrument, and used the signal analysis interface to get the characteristic parameters. The study used t-test analysis to find the difference between heart failure patients and healthy adults. The results showed that the PCG and ECG parameters could be obtained effectively from human bodies by the instrument and signal analysis. In clinical observation about ECG parameters, we found that the heart failure patients had higher values in Sv1, Rv5 and Rv6; In clinical observation about PCG parameters, we found that the heart failure patients had occurrence gallop rhythm. Therefore, it was feasible to apply the combination of Phonocardiogram and Electrocardiogram measurement for auxiliary diagnosis and self-monitoring of heart failure.