Life Sign Decision Support Algorithms for Warfighter Physiological Status Monitoring (WPSM)

"This proposal focuses on computational algorithms for an Expert System that interprets data from a suite of wearable physiologic sensors to infer a soldier's current clinical state on the battlefield. There is a pressing need in the military for such atool, in consideration of the high level of casualty in the battlefield that could be avoided through a prompt identification of the wounded and a quick intervention. It has been recognized that it would be possible to avoid almost 90% of the casualtiessimply by promptly identifying the soldier and applying a tourniquet in the first 30 minutes after the injury.Specifically, the computational algorithms will assess with high level of reliability if the soldier is dead, alive or in an unknown state. The algorithms will also identify corrupted data and the mechanisms responsible for their corruption. Thesemechanisms could be either a momentary fault, like noise in the data transmission circuit, or failure of some device. Techniques relying on the Bayesian Network framework provide valuable tools for tackling the problem with success. During Phase I we willinvestigate and identify the most appropriate methodologies, which will be fully implemented during Phase II. This set of computational tools will have both military and civilian applications. The health monitoring system developed with such tools have a broad base of applications. Telemedicine and web-based monitoring of home health pati