Literature DB >> 22002518

Comparison of an in-helmet temperature monitor system to rectal temperature during exercise.

P Jason Wickwire1, Robert J Buresh, Laurie L Tis, Mitchell A Collins, Robert D Jacobs, Marla M Bell.   

Abstract

Body temperature monitoring is crucial in helping to decrease the amount and severity of heat illnesses; however, a practical method of monitoring temperature is lacking. In response to the lack of a practical method of monitoring the temperature of athletes, Hothead Technologies developed a device (HOT), which continuously monitors an athlete's fluctuations in body temperature. HOT measures forehead temperature inside helmets. The purpose of this study was to compare HOT against rectal temperature (Trec). Male volunteers (n = 29, age = 23.5 ± 4.5 years, weight = 83.8 ± 10.4 kg, height = 180.1 ± 5.8 cm, body fat = 12.3 ± 4.5%) exercised on a treadmill at an intensity of 60-75% heart rate reserve (HRR) (wet bulb globe temperature [WBGT] = 28.7° C) until Trec reached 38.7° C. The correlation between Trec and HOT was 0.801 (R = 0.64, standard error of the estimate (SEE) = 0.25, p = 0.00). One reason for this relatively high correlation is the microclimate that HOT is monitoring. HOT is not affected by the external climate greatly because of its location in the helmet. Therefore, factors such as evaporation do not alter HOT temperature to a great degree. HOT was compared with Trec in a controlled setting, and the exercise used in this study was moderate aerobic exercise, very unlike that used in football. In a controlled laboratory setting, the relationship between HOT and Trec showed favorable correlations. However, in applied settings, helmets are repeatedly removed and replaced forcing HOT to equilibrate to forehead temperature every time the helmet is replaced. Therefore, future studies are needed to mimic how HOT will be used in field situations.

Mesh:

Year:  2012        PMID: 22002518     DOI: 10.1519/JSC.0b013e31823b0a5a

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   3.775


  2 in total

1.  Opportunities and Challenges for Personal Heat Exposure Research.

Authors:  Evan R Kuras; Molly B Richardson; Miriam M Calkins; Kristie L Ebi; Jeremy J Hess; Kristina W Kintziger; Meredith A Jagger; Ariane Middel; Anna A Scott; June T Spector; Christopher K Uejio; Jennifer K Vanos; Benjamin F Zaitchik; Julia M Gohlke; David M Hondula
Journal:  Environ Health Perspect       Date:  2017-08-01       Impact factor: 9.031

2.  Application of Machine Learning Algorithm on MEMS-Based Sensors for Determination of Helmet Wearing for Workplace Safety.

Authors:  Yan Hao Tan; Agarwal Hitesh; King Ho Holden Li
Journal:  Micromachines (Basel)       Date:  2021-04-16       Impact factor: 2.891

  2 in total

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