ABSTRACT
Nowadays, electronic equipment and sensor technology have matured enough to enable the widespread use of medical sensors for the constant monitoring of various biological aspects of a patient. Consequently, the current trend in the design of medical systems is to incorporate an ever-increasing number of sensors in the complete system architecture. Manufacturing and incorporating reliable and accurate sensors in a medical system is of great importance, and at the same time, the interpretation of sensor data and knowledge extraction is of the same criticality. In wearable systems, sensor data are combined and correlated to produce a human interpretable outcome. We refer to this procedure as data fusion being executed in a computational machine by a data fusion engine.
