Real-time Non-invasive Heat Strain Prediction Model
2008-01-1929
06/17/2008
- Event
- Content
- 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.
- Pages
- 9
- Citation
- Berglund, L., and Yokota, M., "Real-time Non-invasive Heat Strain Prediction Model," SAE Technical Paper 2008-01-1929, 2008, https://doi.org/10.4271/2008-01-1929.