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纸质出版:2013
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李蕊,张浪千,胡博,蒋政,吴广延,姚娟,刘运航,隋建峰.基于红外视频测量技术的瞳孔反应动态识别监测系统[J].陆军军医大学学报(原第三军医大学学报),2013,35(07):649-652.
Li Rui,Zhang Langqian,Hu Bo,Jiang Zheng,Wu Guangyan,Yao Juan,Liu Yunhang,Sui Jianfeng.A dynamical identification and monitoring system for pupil reaction based on infrared video measurement technology[J].J Amry Med Univ (J Third Mil Med Univ),2013,35(07):649-652.
李蕊,张浪千,胡博,蒋政,吴广延,姚娟,刘运航,隋建峰.基于红外视频测量技术的瞳孔反应动态识别监测系统[J].陆军军医大学学报(原第三军医大学学报),2013,35(07):649-652. DOI:
Li Rui,Zhang Langqian,Hu Bo,Jiang Zheng,Wu Guangyan,Yao Juan,Liu Yunhang,Sui Jianfeng.A dynamical identification and monitoring system for pupil reaction based on infrared video measurement technology[J].J Amry Med Univ (J Third Mil Med Univ),2013,35(07):649-652. DOI:
目的 设计一种简单实用,基于红外视频测量技术,能对人或动物的瞳孔反应进行动态和同步在线自动识别和监测的系统。 方法 系统包括:普通CCD红外摄像头、数据采集卡、生理信号记录仪及信号采集分析基础软件、瞳孔同步视频测量分析软件、计算机等。CCD摄像头接收眼球的红外光反射并将之转化为数字信号,数据采集卡采集已经数字化的视频信息然后将其输入计算机。瞳孔视频分析软件是该系统的核心,它通过动态地跟踪分析瞳孔区域的灰度值与周围区域灰度值的差异,得出瞳孔区域的总像素数从而得出瞳孔区域的面积。利用Windows内存转储机制作为桥梁,进行与信号记录系统软件间的数据通讯传递,使瞳孔大小的变化以快速跳变的数据呈现在生理信号记录仪上,同时形成实时的瞳孔反应的面积-时间曲线图。 结果 利用本系统成功测量了猫瞳孔扩大反应。 结论 本系统依赖简单设备解决了瞳孔自动跟踪和动态测量的难题,特别是解决了瞳孔位置移动对于测量的影响。
Objective To design a simple and practical system which can automatically identify and monitor the reaction of pupils of human being or animals online based on infrared video measurement technology. Methods The system include: ordinary CCD infrared camera
data acquisition card
physiological signal recorder and basic software for signal acquisition and analysis
synchronous measurement and analysis software of pupil video
and computer
etc. The infrared reflection from eyeball was received by CCD camera and converted to digital signals. The digital video information was acquired by the data acquisition card and then sent into the computer. The core of the system was video analysis software of pupil. By dynamically tracking and analyzing
the gray value difference between pupil and the surrounding area
the total number of pixels and the total area of the pupil were acquired. The Windows RAM transfer mechanism was used as a bridge to communicate data between the signal recording system software and the video analysis software
making the changes of pupil size as quick change digitals in the physiological signal recorder. At the same time
the time-area graph of pupil real-time response was formed. Results The dilation reflex was successfully measured in cats by using of this system. Conclusion Our system solves the challenge of pupil automatic tracking and dynamic measurement
especially the influence of pupil motion to the measurement
depending on simple devices.
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