A Wireless Smart Sensor with Biofeedback Technology for Personal Physiological Monitoring

• Main Authors: Cheng-hsien Hsiao, 蕭正賢
• Other Authors: Tsu-Wang (David) Shen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/85546395298289025010

碩士 === 慈濟大學 === 醫學資訊研究所 === 96 === The aging population keeps growing in many developed countries, such as Taiwan. Cardiovascular disease (CVD) caused thousands of deaths in Taiwan, and inappropriate life style and unhealthy diet habit can increase the risk for CVD. The best way to avoid the risk of CVD is to exercise with personal physiology monitor system. Generally, the smart sensor monitor system is the trend of development of portable monitoring devices in recent years. For controlling CVD, it is necessary to develop a smart sensor with electrocardiogram monitoring embedded. In this study, a smart sensor is developed, which is combined multiple sensors to produces proper reactions and to provide voice feedback of heart rate and overload physiology condition warming. Hence, the smart sensor can help users to maintain their health regularly and to change their life style. Moreover, it can remind patients to execute the healthy 333 plan from doctor to prevent cardiovascular diseases. The healthy 333 plan means that people need to exercise three times a week, thirty minutes each time, and to reach the heart rate at 130bpm. For more details, the intelligence physiology sensor system includes both hardware and firmware. The core of the hardware is a low-power microprocessor which is produced by Texas Instruments. It is composed with electrocardiogram amplifiers, accelerometer, GPS, MP3, Bluetooth, and LCD etc. All electronic parts used SMD packages to make it small and easy for carrying. The firmware is developed by IAR development system. The function of the smart sensor contains heart rate and activity recording by using ECG, accelerometer and GPS sensors. The smart sensor also contains Micro SD card to record signals and sends those data to PC by using Bluetooth. Also, it can download personal information from PC to device. It can change different music based on users’ activities to fit different exercise styles. It could help users to extend their exercise time. However, when the physiological condition is overload, then the sensor will advice the user to slow down through voice feedback. The GPS sensor can record user’s coordinate and trace when exercising. After exercise is done, users can upload their physiological status to PC by using Bluetooth module. Overall, the device is developed to supply safely, enjoyable exercise experience to users. In the future, we hope the smart sensor which will combine entertainment to provide the extra values on monitoring instruments.