Real-time monitoring of complex window conditions on body sensor data for wireless body area networks

This paper proposes a system that could perform real-time monitoring of complex conditions on streaming data from various body sensors within a Wireless Body Area Network(WBAN). The system enables personal medical applications to be developed using personal electronic devices combined together with sensors in a WBAN. The main techniques developed are the query language which supports windowing capabilities, and the query index using an Interval Skip List data structure with windowing support. Experimental results show that the proposed approach provides a wider spectrum of monitoring functions as well as enhancing the scalability and efficiency of the monitoring.