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本文用频率响应法去估计眼球运动系统和眼睛跳动运动期间的活动张力的四阶模型的参数。每只眼睛的内、外直肌是由一个并联组合的活动张力传感器来模拟的,该传感器由粘性元件和弹性元件串联成一系列的弹性体组合而成。眼球由一个与粘性元件联在一起的球来模拟,假设所有这些元件都是理想的和线性的,我们用低通过滤的脉冲波形来模拟每块肌肉的活动张力。用生理学资料来预估眼球运动体的机械运动部分。用归纳眼睛的运动轨迹来预估活性张力。眼睛水平跳动运动由红外信号自动记录,该信号由角膜的前表面反射并数字化后形成。用共轭梯度搜索程序来计算模型的参数值,也就是用模型和数据之间的方差绝对值的最小积分值来计算。假设的模型表明它与数据完全一致。最后,运动神经元的活动性质推断表明,收缩肌肉在眼睛
In this paper, the frequency response method is used to estimate the parameters of the fourth-order model of the active tension during eye movements and eye movements. The inner and outer rectus muscles of each eye are modeled by a parallel combination of active tension transducers consisting of a series of elastomers in which the viscous and elastic elements are connected in series. The eyeball is modeled by a ball attached to a cohesive element. Assuming that all these elements are ideal and linear, we model the activity of each muscle with a low-pass filtered pulse waveform. Physiologic data is used to estimate the mechanical motion of the eyeball. Use inductive eye motion trajectories to estimate the active tension. Eye level beat movement is automatically recorded by an infrared signal that is reflected and digitized by the anterior surface of the cornea. Conjugate gradient search programs are used to calculate the model’s parameter values, which are calculated using the minimum integral of the absolute value of the variance between the model and the data. The hypothetical model shows that it is exactly the same as the data. Finally, extrapolation of the nature of motility of motor neurons suggests that contracting muscles in the eye