Smart Oxygen Monitors to Diagnose and Treat Cardiopulmonary Injuries.

摘要

Resources and expertise needed to rapidly diagnose and initiate life saving interventions (LSI s) in soldiers suffering from chest trauma, hemorrhage and lung injury is a recognized gap for combat casualty care. Life threatening oxygenation deficits are characterized by the need for increased inhaled oxygen for pulmonary injury and perfusion for cardiovascular injury. Our group has developed autonomous closed loop systems that integrate technology with clinical expertise to optimize oxygenation, ventilation and fluid therapy. A fascinating element of autonomous systems is that they provide robust physiologic signals of clinical health due to feedback activity e.g., how active the autonomous controller is working . Our project goal is to implement novel recognition systems (early warning alarms), which we term smart- oxygenation-systems (SOS), to treat patients with oxygenation deficits. Specifically, data from autonomous systems will be used to construct SOS that better detect oxygenation deficits that occur from hemorrhage and pulmonary/airway injury. SOS can be a standalone product or embedded into a variety of small emerging technologies. We hypothesize that SOS will lead to earlier recognition and judicious use of LSI s. We will first prototype and test these systems in animal experiments. Then, we will test our prototypes in patients. Two non overlapping, synergistic objectives will be performed to test this hypothesis.