眨眼引起的眼睑分流的眼电模拟

Nathaniel Barbara, T. Camilleri, K. Camilleri
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引用次数: 1

摘要

除了传统的基于回归模型的技术从眼电(EOG)信号中估计凝视角(GAs)外,最近的研究工作还研究了使用电池模型进行GA估计。这是一个白盒,明确和物理驱动的模型,将单极EOG电位与电极-角膜和电极-视网膜距离联系起来。在这项工作中,通过模拟眨眼期间眼睑引起的分流效应,该模型得到了扩展,以适应眨眼引起的EOG信号特征。具体地说,引入了一个通道相关参数,表示眼睑张开量对特定EOG通道的影响程度。提出了一种估计这些参数的方法,并通过将该模型与卡尔曼滤波相结合来估计眨眼过程中的眼睑张开度,对所提出的模型进行了验证。实验结果表明,该模型能够准确地反映眨眼引起的眼睑分流现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of Blink-Related Eyelid-Induced Shunting on the Electrooculogram
Besides the traditional regression model-based techniques to estimate the gaze angles (GAs) from electrooculography (EOG) signals, more recent works have investigated the use of a battery model for GA estimation. This is a white-box, explicit and physically-driven model which relates the monopolar EOG potential to the electrode-cornea and electrode-retina distances. In this work, this model is augmented to cater for the blink-induced EOG signal characteristics, by modelling the eyelid-induced shunting effect during blinks. Specifically, a channel-dependent parameter representing the extent to which the amount of eyelid opening affects the particular EOG channel is introduced. A method to estimate these parameters is also proposed and the proposed model is validated by incorporating it in a Kalman filter to estimate the eyelid opening during blinks. The results obtained have demonstrated that the proposed model can accurately represent the blink-related eyelid-induced shunting.
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