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Exertional heat stroke (EHS) is an emergency medical condition that is prevalent in military soldiers, athletes, and laborers. It is diagnosed when the rectal temperature is above 40°C with the presence of central nervous dysfunction (altered mental status). The gold standard method of care for EHS is immediate onsite whole body cooling using cold-water immersion (cooling rates >0.15°C•min-1), which is reported to have the highest cooling rate. In the treatment of EHS, selecting a cooling modality with a high cooling rate becomes crucial to minimize the time above the critical threshold of body temperature at 40°C to less than 30 minutes for the best chance of survival and to minimize the severity of prognosis. However, in situations where cold water immersion is not feasible (in certain military, firefighter, or other remote settings), other cooling modalities must be available that have a cooling capacity similar to that of cold-water immersion. In this proposed study, the investigators aim to examine the cooling rates of the Polar Breeze® device (developed by Statim Technologies, LLC, Clearwater, FL) compared to rotating ice towels, a cooling method often recommended by sports medicine professionals as an alternative to cold-water immersion, and passive rest in participants with exercise-induced hyperthermia.
Thermal Rehab Machine, Forearm Ice Towels
University of North Carolina at Greensboro
University of North Carolina, Greensboro
Published on BioPortfolio: 2018-08-27T22:30:15-0400
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Apparatus that provides mechanical circulatory support during open-heart surgery, by passing the heart to facilitate surgery on the organ. The basic function of the machine is to oxygenate the body's venous supply of blood and then pump it back into the arterial system. The machine also provides intracardiac suction, filtration, and temperature control. Some of the more important components of these machines include pumps, oxygenators, temperature regulators, and filters. (UMDNS, 1999)
A system in which the functions of the man and the machine are interrelated and necessary for the operation of the system.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.
A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.
An effect usually, but not necessarily, beneficial that is attributable to an expectation that the regimen will have an effect, i.e., the effect is due to the power of suggestion.
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