基於近年來人口老化的趨勢，慢性病患人數急遽增加，依據行政院衛生署在2007年做的「臺灣中老年身心社會生活長期追蹤調查」顯示，至少有88.71%以上的老年人是慢性疾病的患者，慢性疾病也往往占據了國人十大死因中的六成。而慢性疾病的預防與控制不外乎要做長期的觀察與治療，但不僅成本高昂，醫院的病床與醫護人員也紛紛供不應求，再加上行動不便和偏遠地區的病患，遠距醫療（telemedicine）迅速成為各國所亟欲重視的發展項目之一。 小波（wavelet）是現今極為熱門的訊號處理技術，具有在不同層級（level）之下彼此正交（orthogonal）的特性與多辨率分析（multiple resolution analysis，MRA）、時頻域定位等優點，特別適用於訊號分析、影像處理以及雜訊抑制等方面。本研究的目的在運用小波和微處理機（microprocessor）來建置一個多通道（multi-channel）的生理訊號編碼和傳輸系統，不僅可以將多通道且不同頻率之生理訊號編碼成單一訊號傳送，而且成本低、體積小，更較傳統的類比與數位調變（modulation）具有更好的準確率與即時性。未來不管在何時何地，病患都能輕鬆利用此系統來進行遠距醫療的服務。 Owing to the rapid growth of aging population and chronic patients, 88.71% elderly people have chronic disease and over 60% in top ten causes of death is related to chronic disease, according to the 2007 report from Department of Health, Executive Yuan, Taiwan. These patients with chronic disease usually require long-term care, and high demands of nursing man power and monitoring instruments are usually needed. Accordingly, development in telemedicine has regarded as an important issue, especially for remote areas with limited medical resources. Wavelet analysis is a popular signal processing technique. With the properties of orthogonality at different levels, the multi-resolution analysis (MRA) and the superior localization on tempo-frequency domain, wavelets have wide applications to computer science and engineering fields, such as signal analysis, image processing, data compression (e.g. JPEG 2000) and noise reduction. In this thesis, a wavelet-based muti-channel transceiver system has been built on microprocessor for biosignal tele-monitoring. The present system has advantages of low cost, small size, which performs better accuracy and responding time than conventional analog and digital modulation techniques. The proposed system has been demonstrated to transmit data through telephone network which provides an easy way for telemonitoring service.
