Telecare Platform with Portable Biomedical system Applied in Smartphone
Date Issued
2013
Date
2013
Author(s)
Guo, Tai-Yuan
Abstract
Injuries from outdoor activity and home environment occur frequently. Each year in Taiwan, residents are victim to cardiovascular disease, oxygen insufficient, and falling accidents. Therefore, a technology applied towards helping people monitor their health and preventing accidents has received much attention in recent years.
The aims of this study is to develop a set of portable embedded Telecare real-time monitoring system, including oxygen saturation detector, pulse sensor, falling detector and temperature measurement. Physiological signals can be measured by the system no matter when the user is exercising outdoor, working in the office, or resting at home. Furthermore, the system can form a telemedicine care system by sending the physiological signals to a hospital through wireless transmission. Traditional blood pressure and oximeter machines are heavy and cumbersome for those who wear difficultly. However, the both measure devices can be miniaturized on a watch strap to wear by utilizing the micro-electromechanical system (MEMS), which is integrated in circuit filter and Arduino controller. On the other hand, the obtained information from physical signals, oxygen saturation (SpO2), and heart rate (BPM) in the system we have developed can be transmitted to mobile phone through Bluetooth, physical data used mobile phone is sent to telemedicine center for further analysis. Therefore, the characteristic physiological state of a patient can be monitored immediately and then a lot of medical disputes can be avoided.
For the validation experiments, it mainly describes for accurate design and verification of oximeter. First, before development of the product, calibration and verification are required to avoid design error and accurate deviation. Second, the circuit hardware and software are executed with processing verification for achieving ideal result. This system has been verified with standard instrument. Evaluating by our system, the SpO2 error is less than 2% then BPM error is in times per minute. As a consequence, our system is quite accurate to reduce error and improve the medical quality.
Subjects
嵌入式
血氧計
藍芽
遠距照護
Arduino
SDGs
Type
thesis
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