晕船适应性的指数模型
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A kind of exponential model of seasickness habituation
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    目的 建立晕船适应性数学模型,为科学制定晕船适应性训练计划提供定量化研究工具。方法 基于晕船适应性规律,建立晕船发生率(MSI)指数模型,以通过拟合训练数据提取航海适应率(AMSI)和适应速率(μ)等晕船适应性参数,并模拟AMSI和μ对MSI的影响。结果 模型能够较好地拟合2次海上适应性训练数据,AMSI和μ在间断性训练中的拟合结果为0.87和0.048,而在连续性训练中则为0.81和0.34。提高AMSI和μ可增强晕船适应性训练效果。 结论 本文建立的MSI模型可用于晕船适应性训练的效果评估和最优策略制定。

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    Objective To provide a quantitative analysis tool by building a mathematical model of seasickness habituation to make adaptive training plans scientifically for anti-seasickness purpose. Methods Based on the regular pattern of seasickness habituation, an exponential model of motion sickness incidence (MSI) was established to extract such seasickness habituation parameters as anti-motion sickness incidence (AMSI) and anti-motion sickness rate (μ) through making the seasickness habituation data fitting into the corresponding training, and the effects of AMSI and μ on MSI was also simulated. Results The data from two marine adaptive trainings were well fitted with the MSI model, and the fitting results of AMSI and μ were 0.87 and 0.048 for intermittent training, or 0.81 and 0.34 for continuous training. Effects of seasickness habituation training would be enhanced by increasing the value of AMSI and μ. Conclusions The present model of MSI is suitable for evaluating the effect of training on anti-seasickness and making the optimal strategy for such seasickness habituation training.

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刘广建,方颖,孙钢,吴建华.晕船适应性的指数模型[J].医用生物力学,2014,29(4):351-354

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  • 收稿日期:2013-07-09
  • 最后修改日期:2013-09-26
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  • 在线发布日期: 2014-08-22
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