Wireless body sensor network (WBSN) technologies are considered one of attracting research areas in computer science. When combined with the healthcare application, it provides high value technology of comprehensive healthcare monitoring solution in extreme situations including high altitude or disaster area enabling the ground controller to monitor remote pilots or earthquake victims in real time by combination of wireless sensors and sensor networks. Sensor networks are irregular clusters of communicating sensor nodes, which collect and process information from onboard sensors, and they can share some of this information with neighboring nodes. By recent technological advances in the integration of ultra-low power networks of miniatured sensors, embedded microcontrollers and radio interfaces on an all-in-one chip can collect important physiologic informations from the surrounding environment efficiently. In addition, the sensed physiological data transmitted to a remote healthcare provider can be modulated and fed back by processing software such as artificial intelligence system enriching capability of the sensor network. In this study, we develop a wireless body sensor network which integrates different physiological sensors with radiointerface to sense physiological data from a human body, and then rehearses to transmits the data to a remote healthcare cloud through a smartphone as an interface. Test results for simulated measurements of wireless transmission and emulation in a smartphone are given and discussed.
['WooSeok Hyun', 'Ilsun You', 'Joung-Soon Jang', 'Fang-Yie Leu']
A Wireless Body Sensor Network and Its Applications: Rehearsal with a Smartphone