Comparison of estimated core body temperature measured with the BioHarness and rectal temperature under several heat stress conditions

References

• Hargreaves, M.: Physiological limits to exercise performance in the heat. J. Sci. Med. Sport 11(1): 66–71 (2008).
   PubMed Web of Science ®Google Scholar
• Casa, D.J.: Exercise in the heat. I. Fundamentals of thermal physiology, performance implications, and dehydration. J. Athl. Train 34(3):246–252 (1999).
   PubMed Web of Science ®Google Scholar
• Holmer, I.: Protective clothing in hot environments. Ind. Health 44(3):404–413 (2006).
   PubMed Web of Science ®Google Scholar
• Cheung, S.S.: Neuromuscular response to exercise heat stress. Med. Sport Sci. 53:39–60 (2008).
   PubMedGoogle Scholar
• Gaoua, N., S. Racinais, J. Grantham, and F. El Massioui: Alterations in cognitive performance during passive hyperthermia are task dependent. Int. J. Hyperthermia 27(1):1–9 (2011).
   PubMed Web of Science ®Google Scholar
• Hocking, C., R.B. Silberstein, W.M. Lau, C. Stough, and W. Roberts: Evaluation of cognitive performance in the heat by functional brain imaging and psychometric testing. Comp. Biochem. Physiol. A Mol. Integr. Physiol. 128(4):719–734 (2001).
   PubMed Web of Science ®Google Scholar
• Gunga, H.-C., M. Sandsund, R.E. Reinertsen, F. Sattler, and J. Koch: A non-invasive device to continuously determine heat strain in humans. J. Therm. Biol. 33(5):297–307 (2008).
   Web of Science ®Google Scholar
• Teunissen, L., A. de Haan, J. de Koning, and H. Daanen: Telemetry pill versus rectal and esophageal temperature during extreme rates of exercise-induced core temperature change. Physiolog. Measure. 33(6): 915 (2012).
   PubMed Web of Science ®Google Scholar
• Pantelopoulos, A., and N.G. Bourbakis: A survey on wearable sensor-based systems for health monitoring and prognosis. Syst. Man Cybernet. Part C Applic. Rev. IEEE Trans. 40(1):1–12 (2010).
   Web of Science ®Google Scholar
• Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Fluids Eng. 82(1):35–45 (1960).
   Google Scholar
• Kim, J., R. Roberge, J. Powell, A. Shafer, and W.W. Jon: Measurement accuracy of heart rate and respiratory rate during graded exercise and sustained exercise in the heat using the Zephyr BioHarness. Int. J. Sports Med. 34(6):497–501 (2013).
   PubMed Web of Science ®Google Scholar
• Fiala, D., K.J. Lomas, and M. Stohrer: Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions. Int. J. Biometeorol. 45(3):143–159 (2001).
   PubMed Web of Science ®Google Scholar
• Havenith, G.: Individualized model of human thermoregulation for the simulation of heat stress response. J. Appl. Physiol. (1985) 90(5):1943–1954 (2001).
   PubMed Web of Science ®Google Scholar
• Kraning, K.K., and R.R. Gonzalez: A mechanistic computer simulation of human work in heat that accounts for physical and physiological effects of clothing, aerobic fitness, and progressive dehydration. J. Therm. Biol. 22(4):331–342 (1997).
   Web of Science ®Google Scholar
• DeGroot, D.W., D.A. Goodman, S.J. Montain, and S.N. Cheuvront: Validation of the ICDA Model for Predicting Body Core Temperature: 2056: Board# 27 May 30 9: 00 AM-10: 30 AM. Med. Sci. Sports. Exerc. 40(5):S367 (2008).
   Web of Science ®Google Scholar
• Kim, J.-H., W.J. Williams, A. Coca, and M. Yokota: Application of thermoregulatory modeling to predict core and skin temperatures in firefighters. Int. J. Industr. Ergon. 43(1):115–120 (2013).
   Web of Science ®Google Scholar
• Williams, W.J., A. Coca, J.-H. Kim, and R. Roberge: Repeatability of physiological responses during two repeated protective clothing performance tests under identical test conditions. Int. J. Industr. Ergon. 44(5):793–799 (2014).
   Web of Science ®Google Scholar
• Ramanathan, N.L.: A new weighting system for mean surface temperature of the human body. J. Appl. Physiol. 19:531–533 (1964).
   PubMed Web of Science ®Google Scholar
• Burton, A.C.: Human calorimetry II. The average temperature of the tissues of the bodythree figures. J. Nutrit. 9(3):261–280 (1935).
   Google Scholar
• Bland, J.M., and D. Altman: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 327(8476):307–310 (1986).
   Web of Science ®Google Scholar
• Parsons, K.: Human Thermal Environments: The Effects of Hot, Moderate, and Cold Environments on Human Health, Comfort, and Performance. CRC Press, 2014.
   Google Scholar
• Rowell, L.B.: Human cardiovascular adjustments to exercise and thermal stress. Physiol. Rev. 54(1):75–159 (1974).
   PubMed Web of Science ®Google Scholar
• Wingo, J.E., M.S. Ganio, and K.J. Cureton: Cardiovascular drift during heat stress: implications for exercise prescription. Exerc. Sport Sci. Rev. 40(2):88–94 (2012).
   PubMed Web of Science ®Google Scholar
• Gagnon, D., B.B. Lemire, O. Jay, and G.P. Kenny: Aural canal, esophageal, and rectal temperatures during exertional heat stress and the subsequent recovery period. J. Athl. Train. 45(2):157 (2010).
   PubMed Web of Science ®Google Scholar
• Nybo, L., N.H. Secher, and B. Nielsen: Inadequate heat release from the human brain during prolonged exercise with hyperthermia. J. Physiol. 545(2):697–704 (2002).
   PubMed Web of Science ®Google Scholar
• Lenhardt, R., and D.I. Sessler: Estimation of mean body temperature from mean skin and core temperature. Anesthesiology 105(6):1117–1121 (2006).
   PubMed Web of Science ®Google Scholar
• Hall, J.F., Jr., and J.W. Polte: Physiological index of strain and body heat storage in hyperthermia. J. Appl. Physiol. 15:1027–1030 (1960).
   PubMed Web of Science ®Google Scholar
• Buller, M.J., W.J. Tharion, R.W. Hoyt, and O.C. Jenkins: Estimation of Human Internal Temperature From Wearable Physiological Sensors. In Proceedings of Twenty-Second Innovative Applications of Artificial Intelligence, N. Rychtyckyj and D. Shapiro (eds.). Menlo Park, CA: The AAAI Press, 2010. pp. 1763--1768.
   Google Scholar
• Bos, J., E. Mol, B. Visser, and M.H. Frings-Dresen: The physical demands upon (Dutch) fire-fighters in relation to the maximum acceptable energetic workload. Ergonomics 47(4):446–460 (2004).
   PubMed Web of Science ®Google Scholar