2022
DOI: 10.54517/wt.v1i1.1618
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Research on a monitoring and evaluation platform for mountain sickness of grid construction workers based on disease information entropy

Abstract: <p>The inaccuracy of acute altitude sickness screening has brought great challenges to power grid construction workers in high–altitude areas. Human vital signs monitoring technology is an effective technical means to prevent people from developing altitude sickness. This paper proposes a monitoring and evaluation platform for high altitude sickness in power grid operations based on information entropy of the causes of the illness. First, the vital characteristics data of workers are collected through se… Show more

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“…Although models have been developed to assess risk for developing AMS (Muza, 2018), these population-based models are insufficient for knowing whether an individual will develop symptoms. Activity intensity, acclimatization, and other physiological factors, such as age and respiratory illness, can affect risk (Muza, 2018;Tang et al, 2022).…”
Section: Immediate Health Status-acute Mountain Sicknessmentioning
confidence: 99%
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“…Although models have been developed to assess risk for developing AMS (Muza, 2018), these population-based models are insufficient for knowing whether an individual will develop symptoms. Activity intensity, acclimatization, and other physiological factors, such as age and respiratory illness, can affect risk (Muza, 2018;Tang et al, 2022).…”
Section: Immediate Health Status-acute Mountain Sicknessmentioning
confidence: 99%
“…Artificial intelligence and machine learning (AI/ ML) modeling techniques can combine periodic vital sign measurements with demographic information and altitude level to evaluate an individual's risk of developing AMS (Tang et al, 2022). Although lower SpO 2 is predictive of AMS, findings related to the relationship between blood pressure (BP), HR, and heart rate variability (HRV) and AMS are mixed (Muza, 2018).…”
Section: Immediate Health Status-acute Mountain Sicknessmentioning
confidence: 99%