Study On The System Of Biologic Signal Measuring Base On Wireless Sensor Networks

Since the entering of 21st century, with the rapid development of new technology, the muti-disciplinary and cross-cutting area has become a hot research topic. The development and integration of MEMS (Micro-Electro-Mechanical System), wireless communication, embedded system and sensor technology, promoted the emergence and development of wireless sensor networks (WSNs). Now, most of physiological parameters are measured by timing manner. The conventional care not only spent a lot human, but also measure result is more complex to summary, inquiries and analysis. Especially For patients with infectious diseases, Doctors contact patients inconveniently, so It is necessary that using a method not only monitoring patient, but also no contact patient. This paper presents based on wireless sensor network biologic signal measuring system program development.This paper analyzed the background of the development of WSNs, research status and the interrelated technology. At the same time, it introduced the details of ZigBee protocol, it proposed the design concept of based on wireless sensor network biologic signal measuring system.This paper gives the system hardware and software design of embedded WSN node. After the consideration of performance, power-comsumption and cost, the hardware design of embedded WSN node is achieved by employing the popular ARM core microprocessor chip S3C2410, RF transceiver CC2420, G PRS module MC39i, pulse sensor HK2000C, measure circuit of cardiogram and breathing signal. The system software platform is consisting of Operation System Linux, ZigBee and TCP/IP stack. After the design and implement of system device driver and application software, the function of communication between RF modules, remote data transmission through GPRS module.The overall design of embedded wireless sensor networks, including hardware and software, is illustrated in detail.This paper designs a kind of embedded WSNs, which can be used as a platform for measuring biologic signal system has good flexibility and scalability, suitable for families, communities and medical institutions. It has broad application prospects.