Literature DB >> 12437853

Helmet design to facilitate thermoneutrality during forest harvesting.

E J Holland1, R M Laing, T L Lemmon, B E Niven.   

Abstract

The purpose of this investigation was to evaluate the ventilatory characteristics of vented and non-vented helmets for use in forestry harvesting operations. A ventilation index developed by Birnbaum and Crockford (1978) was used to determine the ventilation capacity of twelve helmets varying in design and presence, location, and dimension of vents. Helmets with top vents had higher ventilation indices than non-vented, side and side/top-vented helmets. Ten physically fit men participated in a maximal oxygen consumption test and four trials wearing a non-vented, round-side-vented, round-top-vented or rectangulartop-vented helmet. Trials simulated typical summer environmental conditions (28 degrees C, 80% rh) and physiological work loads (40% VO(2)max) experienced during forest harvesting in New Zealand. The temperature and humidity under the helmet was typically lowest when the helmet with the largest vented area (288 mm(2)) in the crown was worn, although physiological responses (temperatures at the tympanum, ear and scalp; humidity at the centre of the helmet) of the participants to wearing the helmets differed significantly during some rest periods only. Top-vented helmets (in this experiment measured 288 mm(2)) should be worn to minimize temperature and humidity of the head during forest harvesting operations.

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Year:  2002        PMID: 12437853     DOI: 10.1080/00140130210159959

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  4 in total

1.  The physiological demands of horseback mustering when wearing an equestrian helmet.

Authors:  Nigel A S Taylor; Joanne N Caldwell; Rodd Dyer
Journal:  Eur J Appl Physiol       Date:  2008-01-05       Impact factor: 3.078

2.  Effects of ventilation openings in industrial safety helmets on evaporative heat dissipation.

Authors:  Satoru Ueno; Shin-Ichi Sawada
Journal:  J Occup Health       Date:  2019-01-25       Impact factor: 2.708

3.  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

4.  Evaluation of a Wearable Non-Invasive Thermometer for Monitoring Ear Canal Temperature during Physically Demanding (Outdoor) Work.

Authors:  Charlotte Christina Roossien; Audy Paul Hodselmans; Ronald Heus; Michiel Felix Reneman; Gijsbertus Jacob Verkerke
Journal:  Int J Environ Res Public Health       Date:  2021-05-04       Impact factor: 3.390

  4 in total

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