Human activity surveillance based on wearable body sensor network

With the rapid advancements of biomedical engineering and wireless communication it is possible to develop body sensor networks (BSN) which support a range of applications including medical and healthcare systems. The aim of the research is to propose a prototype of BSN-based wearable wireless monitoring system optimized to monitor patient's activity and physiological signals. The system consists of a number of miniature sensors (ECG, accelerometer, GPS sensor, temperature sensor), wireless modules (Bluetooth) and a gateway node to connect to the external database server. Developed algorithms process and analyze biomedical signals in real time in order to calculate proposed motion activity factor based on movement sensors and selected physiological parameters including heart rate and body temperature. The main advantage of the system is the algorithm optimization for real time computing and web-based remote interface to the patient location and data. The system was tested on 10 healthy volunteers. Each of them was monitored during common daily activities.