Sensor fusion for remote health assessment of first responders

Abstract

Remote physiological monitoring of first responders can become instrumental in the quick and timely detection of the onset of harmful cardiac events. This application finds use not only for first responders but for the physically susceptible senior population and recovering cardiac patients. Fusion of multiple physiological parameters has the potential to improve the overall performance of automated anomaly detection. In this demonstration, we demonstrate the improved performance achieved through the use of novel sensor fusion software integrated with a commercial physiological monitoring hardware system.