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One-dimensional stochastic models for spontaneous and burst blink

机译:自发和爆发的一维随机模型闪烁

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The present study proposed one-dimensional stochastic diffusion models for spontaneous eyeblink and analyzed and discussed the blink burst during low vigilance. The models presumed the interblink interval distribution to be first-passage-time probability densities of the Ornstein-Uhlenbeck process. To estimate the parameters, the behaviour of upper eyelids was optically measured when the vigilance of the subjects was high and low, and transformed into point series data. The observed data was in good agreement with the model output and the threshold of a virtual blink generator changed with vigilance. It became evident that the Ornstein-Uhlenbeck first-passage-time models are valid spontaneous blink models and that the burst patterns occur because of a shift of the threshold.
机译:本研究提出了用于自发拍摄的一维随机扩散模型并分析并讨论了在低警惕期间的眨眼爆发。模型推测,跨链间隔分布为Ornstein-Uhlenbeck过程的第一通道时间概率密度。为了估计参数,当受试者的警惕高且低时,上眼睑的行为被光学测量,并转化为点序列数据。观察到的数据与模型输出吻合良好,虚拟眨眼发生器的阈值随着警惕而变化。显而易见的是,Ornstein-Uhlenbeck第一段通过时间模型是有效的自发眨眼模型,并且由于阈值的偏移而发生突发模式。

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