深度学习屈光检测方法研究

屈光不正是一种非常常见且对视功能发育有严重危害的眼科问题。准确与方便的屈光检测技术,对于及时发现屈光不正问题以及采取相应措施进行干预具有非常重要的意义。目前的屈光筛查设备虽然能较快进行屈光检测,但主要存在两个问题：检测准确度较低,对被测者配合度要求较高。因此,提出一种新的屈光检测方法,此方法使用基于偏心摄影验光原理的光学系统获取人脸面部近红外图像,使用图像处理技术对面部近红外图像进行处理,得到左右瞳孔图像和瞳孔位置信息,使用提出的结合了深度可分离卷积和SE模块的混合数据多输入神经网络模型进行训练与屈光度的计算。与传统偏心摄影验光原理的屈光检测方法相比,此方法有望随着数据集的扩增而达到更高的准确度,并且此方法将瞳孔位置信息作为模型的输入,可以解决传统算法对被测者配合度要求较高的问题。该研究是对屈光检测新方法的一种有益探索,使用此方法有利于屈光筛查更便利地进行,为实现非接触自助式的屈光筛查提供基础。     

Differences in children and adolescents' ability of reporting two CVS-related visual problems

The present study examined whether children and adolescents can correctly report dry eyes and blurred distance vision, two visual problems associated with computer vision syndrome. Participants are 913 children and adolescents aged 6–17. They were asked to report their visual problems, including dry eyes and blurred distance vision, and received an eye examination, including tear film break-up time (TFBUT) and visual acuity (VA). Inconsistency was found between participants' reports of dry eyes and TFBUT results among all 913 participants as well as for all of four subgroups. In contrast, consistency was found between participants' reports of blurred distance vision and VA results among 873 participants who had never worn glasses as well as for the four subgroups. It was concluded that children and adolescents are unable to report dry eyes correctly; however, they are able to report blurred distance vision correctly. Three practical implications of the findings were discussed.

Practioner Summary: Little is known about children's ability to report their visual problems, an issue critical to diagnosis and treatment of children's computer vision syndrome. This study compared children's self-reports and clinic examination results and found children can correctly report blurred distance vision but not dry eyes.     

用户感性认知与产品感性设计方法及应用

目的梳理用户感性认知测量及其设计应用,提出人工智能驱动的产品感性设计方法,并以验光仪设计验证其有效性。方法分析国内外文献,归纳总结用户感性认知测量及应用方法,通过验光仪设计验证所提出的产品感性设计方法。结果人工智能驱动的产品感性设计方法能提升设计效率,更好地满足用户感性需求。结论用户感性认知测量能转化为设计规范,并能为产品设计提供有效指导。随着计算机科学的发展,针对传统用户感性认知测量中样本采集量较少、测量不够全面等问题,提出了人工智能驱动的产品感性设计方法,并以验光仪的设计验证了其有效性。研究结果表明,通过文本挖掘提取用户感性认知能引导设计师更加全面地了解用户感性需求,从而使设计出的产品更贴近用户的预期满意度。人工智能与人类智慧相结合的感性设计方法是一种能提高用户对产品的心理接受度,从而提升产品竞争力的设计方法。     

激光与计算机处理验光系统

介绍利用激光散斑技术进行验光原理以及利用计算机进行控制处理系统。给出该验光系统与电脑验光仪进行验光试片比较的测试结果。     

客观式验光机的检定及误差来源分析

本文结合实验工作，对客观式验光机正常检定的必要条件给予了充分地阐述，同时分析了测量误差的主要来源，并指出了如何降低误差。     

激光散斑验光机理的研究

本文提出了利用激光散斑检查眼睛屈光不正的机理。由于受检光眼屈不正,激光散斑图在视网膜和眼球息平面上分别成象。当漫射屏以速度V运动时成在网膜上的散斑图象以速度V′=~ε_Li(1+~з_Li)v运动,根据此速度的方向和大小即可知道受检眼的屈折状态。     

激光散斑视觉速度规律的研究

定量给出了激光散斑在人眼视网膜上移动的速度和视觉速度的规律 ,找到了用激光散斑既方便快捷 ,又精确检验非正视眼光焦度的方法。     

三维仿真技术在眼视光检影验光中的应用

检影验光是一种重要的眼视验光法，因其检验操作简单、检验结果客观、准确，较其他检验方法更加实用，因此得到广泛应用。然而传统的眼视光检影验光教学模式主要是教师在光学镜下通过肉眼直视观察，并将观察结果口述教导学生，由于该项教学课程内容比较抽象，导致学生学习兴趣不佳、难以理解，因此目前我国学生的眼视光检影验光学习水平普遍较差。近年来随着我国计算机技术的不断创新与发展，以计算机技术为核心的三维仿真技术的发展与应用为医学眼视光检影验光教学创造了新的发展平台，有效提高了学生的学习兴趣以及教学效率与质量。本文主要结合三维仿真技术的作用谈谈其对于眼视光教学改革的重要性及必要性，分析三维仿真技术在眼视光检影验光教学中的应用，主要从三维仿真模型、虚拟现实技术以及三维动画技术等三个方面进行具体探讨。     

Facilitating mobility for psychologists: Comparisons with and lessons from other health care professions.

Psychology and other health care professions are giving increasing attention to facilitating the movement of practitioners across jurisdictions. One of the greatest deterrents to mobility is the variability in licensing requirements among states and provinces. We review the status of mobility systems for licensed members of the professions of psychology, optometry, dentistry, medicine, nursing, and pharmacy. Each profession has, at a minimum, addressed the issue of mobility and licensure. With the exception of medicine, each profession currently has in place a version of licensure by endorsement and/or by reciprocity, although the professions differ in breadth of use and user-friendliness. Implications for enhancing mobility for psychologists are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)