| Summary: | 碩士 === 國立臺灣大學 === 電子工程學研究所 === 104 === ABSTRACT
Ageing population is a commonly observed phenomenon in most developed countries. Telemedicine system is becoming increasingly important due to the aging population around the world. In a telemedicine system, the monitoring of physiological signal is an important part. This thesis emphasizes on the heart sound and lung sound.
Traditionally, patient will go to a hospital to examine their heart function or lung function. Doctor in the hospital use a stethoscope to listen to heart sound or lung sound and analyze the patients’ heart function or lung function mainly base on subjective consciousness. In a telemedicine system, when medical personnel need heart sound or lung sound, patients in their own houses need to place the stethoscope. However, patients might lack of the experiences of placing the stethoscopes in the right positions. In our scenario, patients in their houses will have multiple stethoscopes and all the thing patients need to do is place these stethoscopes randomly on the chest. However, because of the position of heart and lung which is very close from each other, we might record the mixture of heart sound and lung sound. Besides, we still have another problem that patients’ house might be in a noisy environment. Therefore, this thesis mainly deal with these two problems. After our algorithm to separate the mixture of heart sound and lung sound into heart sound and lung sound. After using separation algorithm, we use the denoise algorithm to deal with the problem of noisy environments. After the denoise algorithm, we can get the pure heart sound and lung sound and send both of these signals back to hospitals to analyze.
The thesis put emphasis on the separation algorithms and denoise algorithms and also analyze the advantages and the disadvantages of these algorithms.
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