隨著環境、醫療、與科技等的進步，病患可以在不受干擾的情況下，讓醫護人員隨時監控並紀錄日常生活時的生理訊號，因此不受距離限制的無線傳輸模組變成是一項重要的工具。本論文為設計組裝一套無線傳輸的即時心電訊號擷取器，來達到遠端監控的目的，並進行不同的測試與分析。 心電訊號的量測具有量測簡單、非侵入性（non-invasive），足夠的資料及判讀等的優點，因此心電圖在心臟專科是一門重要的必備知識。諸如心率不整、心室肥大、心室顫動等的心臟病症。但是這些心臟疾病的判斷是醫生經由時域的心電圖訊號波形特徵來判定，所以有賴於醫生的經驗，在本文中希望利用設計組裝的儀器量取心電訊號及MIT-BIH所提供的心電訊號，並經由系統建模的方法，建立出心臟的系統模型，並比較正常人與心臟疾病患者的心臟系統相關性，期望能藉此方法幫助醫生判斷心臟疾病。 By the improvement of the environment, medical care and science, the daily physiological signal of the patients can be observed and recorded by the infirmarian in an un-disturbed place. Hence, the wireless tool without distance limit is very important. The thesis presents the real-time wireless ECG device which achieves the goal of faraway observation and record and has different tests and analysis. The measurement of the ECG signal has properties of simple measurement, non-invasive, plenty data and easier analysis. Hence, the ECG is an important acknowledge in the cardiacal branch like arrhythmia, ventricular hypertrophy and myocardial infarction. Basis on the doctor experience, those cardiopathy diagnosed from the characteristic of the ECG wave of the time domain. The thesis uses the wireless ECG device to measure ECG signal or samples from MIT-BIH and use the algorithm of the system identification to build the system model of the ECG signal and compare the difference of the system model of the normal man and the patient. The proposed idea wish helping doctor to diagnose cardiopathy.
