Transient sweat response of the human head during cycling
ABSTRACT This research aims at quantifying transient spatial gradients in sweat production on a human head while cycling.Six test persons were studied. Each test lasted 30 min while a change in work rate was applied after 5 min (from 80 to 150 W for males and from 50 to 125 W for females). Two conditions were analyzed in this research: warm (28.3 ± 0.1 °C, 38 ± 0.6% RH and 0.1 ± 0.1 m/s air velocity) and standard (16.1° ± 0.2 C, 45% ± 0.6 RH and 2.4 ± 0.2 m/s air velocity). Sweat production of the head was measured as a function of time on the right temple, left temple and forehead. This allowed modelling the dynamics of the sweat production response. Constant steady state sweat production, time delay in sweat production, time constant of sweat production and steady state gain of sweat production were quantified and analyzed.Time constants of sweat production were shorter in the warm condition compared to the standard condition. Mean and SEM time constant of sweat production varied from 561 ± 144 s (frontal region) to 1117 ± 230 s (left temple) and 1080 ± 232 s (right temple) in the warm condition. While, at the standard condition, the time constant of sweat production varied from 873 ± 121 s at the frontal region to 1431 ± 195 s at the left temple and 1727 ± 196 s at the right temple. Additionally, also constant steady state sweat production was 0.4–0.7 mg min−1 cm−2 higher in the warm compared to the standard condition (P < 0.05). However, no differences (P > 0.05) were observed for steady state gain and time delay of sweat production between the standard and warm condition.The results of this research can be used to enhance physiological insight of the sweating process and it can also help to develop sweating thermal manikins that behave more realistically to thermal changes. Knowledge of sweat production might also be valuable when designing active controlled headgear since the reaction time of the actuator should take the dynamics of sweat rate into account as a function of work rate and thermal environmental conditions.Relevance to industryUnderstanding of the dynamic behaviour of sweat production in relation to work rate under different environmental conditions allows the design of model based controllers in headgear that actively minimize sweat production. This could help a user's desire to wear a helmet as well as his ability to concentrate.
SourceAvailable from: Toh Yen Pang[Show abstract] [Hide abstract]
ABSTRACT: The main objective of this study is to establish an approach for measuring the dry and evaporative heat dissipation cricket helmets. A range of cricket helmets has been tested using a sweating manikin within a controlled climatic chamber. The thermal manikin experiments were conducted in two stages, namely the (i) dry test and (ii) wet test. The ambient air temperature for the dry tests was controlled to ∼23 °C, and the mean skin temperatures averaged ∼35 °C. The thermal insulation value measured for the manikin with helmet ensemble ranged from 1.0 to 1.2 clo. The results showed that among the five cricket helmets, the Masuri helmet offered slightly more thermal insulation while the Elite helmet offered the least. However, under the dry laboratory conditions and with minimal air movement (air velocity = 0.08 ± 0.01 ms(-1)), small differences exist between the thermal resistance values for the tested helmets. The wet tests were conducted in an isothermal condition, with an ambient and skin mean temperatures averaged ∼35 °C, the evaporative resistance, Ret, varied between 36 and 60 m(2) Pa W(-1). These large variations in evaporative heat dissipation values are due to the presence of a thick layer of comfort lining in certain helmet designs. This finding suggests that the type and design of padding may influence the rate of evaporative heat dissipation from the head and face; hence the type of material and thickness of the padding is critical for the effectiveness of evaporative heat loss and comfort of the wearer. Issues for further investigations in field trials are discussed.Applied ergonomics 05/2013; 45(2). DOI:10.1016/j.apergo.2013.04.011 · 1.33 Impact Factor
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ABSTRACT: This study attempts to find the optimal trunk flexion (TF) of a recreational cyclist's subjective discomfort rating while cycling. Two hundred and fifty cyclists were sagittally filmed while cycling on a cycle-way, and their subjective body discomforts were rated. The cyclists also responded to a brief questionnaire. Results show that the TF is positively related to the discomfort on neck/shoulders and is contrary to that on the buttocks. The bike owner cyclists’ (n = 144) trunks were more flexed than the bike rental cyclists’ (n = 106), with a difference of about 11°. This study also found that the cyclists may subjectively perceive the minimum discomforts of both the buttocks and neck/shoulders regions when the trunk was nearly flexed to 38°. This finding serves as a reference for ergonomic consideration in bike design to avoid extreme discomfort while cycling.Journal of the Chinese Institute of Industrial Engineers 12/2012; 29(8). DOI:10.1080/10170669.2012.729762
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ABSTRACT: Cycling is a daily activity that needs a high demand of human-bicycle fitness. However, studies into the fitness or ergonomic aspects are very little. In this study, the simulated 20 min bicycling test were performed by 26 male participants under 5 handle height conditions. Body joint angles and external cervical/lumbar spine lordosis were measured at the initial and cycling after 20 min. Results show that different handle heights did cause various trunk inclinations. Trunk inclination was negatively and positively correlated with lumbosacral angle (r = -0.620, p < 0.001) and cervical angle (r = 0.510, p < 0.001), respectively. In this study, regression models were also developed to predict the internal cervical and lumbar spine movements by external trunk inclination and head extension, respectively. The explanatory abilities for the variance of the models were 67.2% for LSA and 82.8% for CE prediction. This can be used to understand the cyclist’s spine movements while field study of bicycling.Work 02/2012; 41(Supplement 1):5826-5827. DOI:10.3233/WOR-2012-0964-5826 · 0.52 Impact Factor