在傳統心電圖(ECG)量測方面,需透過電極貼片來量測心電訊號。因傳統電極貼片需塗佈一層氯化銀(AgCl)導電膠,此化學物質易對於人體會造成過敏或不適,導致無法長期佩戴在身體上。因此,本論文提出一個可穿戴式生理信號量測的設計概念,同時具有三種感測器元件,具有舒適性,可重複清洗性,可長期使用性等特質。首先,本系統應用織品電極取代傳統電極貼片功能,取得心電生理信號後,透過四級Sallen-Key 主動低通濾波器,濾除雜訊後,其訊號品質和傳統電極貼相當。然後,使用負溫度係數感測元件,偵測與取得人體體溫資訊,和工業型可控溫機台比較,其溫度量測誤差值約為1 %。最後,應用三軸加速度感測器,判別人體是否跌倒檢測,其準確率可達約90 %以上。更進一步,本系統所設計的心電訊號檢測模組、體溫檢測模組及跌倒檢測模組取得各項生理訊號,經由系統模組進行訊號的分析、運算及判斷,並將所分析完的生理訊號,透過ZigBee無線模組傳送到有接收節點的資料收集端,生理訊號透過電腦使用者介面,可即時呈現使用者生理狀況。最後,我們把我們系統應用於療養院中,建立一套遠距生理信號即時監控系統。
Generally, in traditional design one, the standard electrode pads are used to measure the electrocardiogram (ECG). When using traditional electrode pads, the surface will be smeared with AgCl to help electric conduction, which may cause of users’ allergic reaction or un-comfort. Therefore, it is difficult for users to wear over a long period. Hence, we brought up a design concept of a wearable physiological signals measurement equipment, which owns the advantages of comfortable, washable, long-term use. There are three sensors in our device. First, the textile electrode is used to replace traditional electronic pad. After getting ECG physiological signals, the signal will pass four-order Sallen-Key active low pass filter to process. It will be used to eliminate interference. The result of signal quality is very similar to traditional electronic pad. Second, we use the negative temperature coefficient (NTC) thermistor to detect and then get the body temperature information. In our experiment, an error between our sensor NTC and programmable temperature chamber is within about 1%. Third, the 3D-accelerometer can detect whether a person with our device is fallen down. The detection fallen rate can reach about 90%. Finally, the physiological information measured by the ECG detection, temperature detection, fall down detection modules of our design system will be analyzed, operated, decided, and then transmitted to receiver by the ZigBee wireless sensor network. The user’s physiological conditions can be displayed on computer user interface within real-time.