基于视频眼震信号特征的前庭功能检测模型研究

发布时间：2018-03-16 09:32

本文选题：前庭功能检测　切入点：眼震　出处：《空军医学杂志》2016年06期 　论文类型：期刊论文

【摘要】：目的用眼动视频中的眼震信号特征进行前庭功能检测,实现前庭功能检测的信息化和客观化。方法采用图像处理方法对瞳孔进行定位跟踪,检测出眼震信号;再通过信号滤波、特征识别和提取得到眼震特征;然后以前庭眼动反射生理功能为基础,建立眼震慢相信号与头部角加速度关系的数学模型。结果通过最小二乘法的曲线拟合,证明所建立的眼震慢相信号与头部角加速度关系的数学模型与实验结果具有较好拟合度。结论提取眼动视频的眼震信号特征并建立与头部运动特征之间的关系模型,可用来实现前庭功能的客观化和信息化检测与评定。
[Abstract]:Objective to detect vestibular function by using the feature of nystagmus signal in eye movement video to realize the information and objectivity of vestibular function detection. Based on the physiological function of vestibular eye movement reflex, the mathematical model of the relationship between the nystagmus slow belief sign and the angular acceleration of the head is established. It is proved that the mathematical model of the relationship between the nystagmus slow belief sign and the angular acceleration of the head has a good fitting degree with the experimental results. Conclusion the nystagmus signal features of the eye movement video are extracted and the relationship model between the nystagmus signal and the head motion feature is established. It can be used to realize the objectivity of vestibular function and the information detection and evaluation.
【作者单位】：空军航空医学研究所;
【分类号】：R770.4

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