Browse Publications Technical Papers 2008-01-1929

Real-time Non-invasive Heat Strain Prediction Model 2008-01-1929

Core temperature (Tc) is an excellent indicator of heat strain status. A computer model, Initial Capability Decision Aid (ICDA), was developed from existing models and algorithms to predict Tc and other physiological parameters in real-time from non-invasively measured inputs of heart rate (HR) and environment parameters together with the person's clothing and anthropometrics. The model was validated with laboratory studies. Tc prediction errors were small (0.11∼0.31ºC). Predictions of sweat rate and physiological strain index also agreed well (p>0.05) with measured values.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 43% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.