Accuracy of the Heat Strain Decision Aid (HSDA) During Ranger Training Brigade's Road March Exercise

Abstract

This research assessed the accuracy of a USARIEM mission planning software, the Heat Strain Decision Aid (HSDA), for predicting thermal strain associated with US Army Ranger Training Brigade (RTB) road marches during Spring, Summer, and Winter classes. Data was collected from 65 Ranger students (Spring: n = 15, Summer: n = 20, Winter: n = 30) and compared to HSDA predictions. Five methods were used to assess the validity of HSDA to predict core body temperature (Tcore); Bias, mean absolute error (MAE), root mean square deviation (RMSD), limits of agreement (LoA) and a non-parametric comparison similar to a Bland-Altman analysis. Calculated Bias, MAE, and RMSD between predicted and actual Tcore showed a calculated Bias of -0.02, MAE of 0.40, and RMSD of 0.45 C for the three classes combined. These analyses showed HSDA predictions was able to meet many of the accuracy criterions used to determine acceptability.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2021
Accession Number
AD1156544

Entities

People

  • Adam W Potter
  • Anthony J. Karis
  • Miyo Yokota
  • William J. Tharion

Organizations

  • United States Army Research Institute of Environmental Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Body Armor
  • Body Temperature
  • Clothing
  • Energy
  • Equations
  • Global Positioning Systems
  • Graphical User Interface
  • Heat Energy
  • Instructors
  • Medical Personnel
  • Military Research
  • Military Science
  • Physiology
  • Protective Clothing
  • Students
  • Training

Readers

  • Exercise and Sports Science.
  • Regression Analysis.