Title:
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MOSES HEALTH MONITORING SYSTEM
FOR FIREFIGHTERS |
Author(s):
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Tatiana S. Goering-Zaburnenko, Hilco Prins and Etto L. Salomons |
ISBN:
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978-989-8533-85-2 |
Editors:
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Piet Kommers, Pascal Ravesteijn, Guido Ongena and Pedro Isaías |
Year:
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2019 |
Edition:
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Single |
Keywords:
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Core Temperature, Heat Stress, Exhaustion, Firefighters |
Type:
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Full Paper |
First Page:
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73 |
Last Page:
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80 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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When firefighting, the combination of exposition to high temperatures, high physical demands and wearing (heavy and
insulated) personal protective equipment lead to increased risk of heat stress and exhaustion in firefighters. Heat stress can
easily evolve into a life-threatening heat stroke. Once heat stress occurred, the chance of getting another heat stroke during
deployment gets higher. Moreover, intermittent exposure to heat stress over several years, is a risk factor for heart diseases.
Similarly, exhausted during a deployment, a firefighter needs more time to rehabilitate before he can safely be deployed
again. Heat stress and exhaustion can lead to line-of-duty cardiovascular events. Therefore, preventing heat stress and
exhaustion during deployment is beneficial for health, functioning and employability of firefighters. Since currently
available measurement of the core temperature, such as thermometer pill or neck patch thermometer, are not reliable or
practical for firefighters, an alternative approach may be used, namely, estimation of the core temperature based on
non-invasive observation of the heart rate. Exhaustion is estimated using the training impulse model based on the heart rate
reserve. Our achievement is a MoSeS health monitor system (as a smartphone application) that can real time analyze the
health status of a firefighter and predict exhaustion and heat stress during deployment. The system is cheap (only a heart
rate sensor and a smartphone application is needed), easy to use (intuitive traffic light signal), and objective (the health
status is determined based on measurements of the heart rate). The only restriction is that the developed model is strongly
dependent on personal maximum and minimum heart rate which need to be established beforehand. |
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