A Rule-Based Decision Framework for Medical Sensor Networks

In the future, continuous vital sign data collection will be an integral part of every patient's electronic medical record. The sensors that collect this information will become smaller, wireless and potentially more heterogeneous. They will need to be smart, scalable and extensible to accommodate large patient populations. In this paper, we propose a general rule-based system that enables automated vital sign processing through the SnBench framework [1]. The SnBench framework provides scalability through distributed event management. The rule-based engine described in this paper enables adaptive event processing necessary to satisfy a wide array of patient needs.