Characterization of Uncertainties in a Thermal Strain Prediction Model for Military Applications
Abstract
Thermoregulatory prediction models are increasingly needed for accurate physiological status and risk assessment to prevent heat and cold injuries among deployed soldiers. These biophysical prediction models can provide consistent and repeatable simulations over a wide range of working and environmental conditions to assess physiological risks because they are rationally based on thermodynamics and heat transfer coupled with active physiological control systems and biophysical properties. In contrast, a statistical regression prediction model (8) is limited to the test conditions used in its development. However, it is important to evaluate model predictions of physiological responses in real field situations for its acceptance and useful application. Recent improvements in physiological data collection methods, physiological sensors and communication devices have facilitated the military field evaluation process. Comparisons of physiological data with model predictions provide the analytical basis needed to identify uncertainties and characterize model performance.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2003
- Accession Number
- ADA422466
Entities
People
- Larry G. Berglund
- Mark J. Buller
- Miyo Yokota
- Reed W. Hoyt
- William T. Matthew
Organizations
- United States Army Research Institute of Environmental Medicine