首页> 外文会议> >DESIGN AND VALIDATION OF A DYNAMIC DIGITAL RULER FOR HANDS-FREE CHRONIC WOUND ASSESSMENT
【24h】

DESIGN AND VALIDATION OF A DYNAMIC DIGITAL RULER FOR HANDS-FREE CHRONIC WOUND ASSESSMENT

机译:无手慢性创面评估数字标尺的设计与验证

获取原文
获取原文并翻译 | 示例

摘要

This paper documents the design and validation of a measurement tool for chronic wound assessment. Using the Google Glass™ head-mounted display (HMD) as a platform for research, we developed a digital ruler to dynamically capture wound dimensions in a hands-free manner. The system consists of the Glass HMD equipped with an infrared light emitting diode (IR-LED) distance sensor, lithium polymer battery, and a custom printed circuit board. Programmed using Android 4.4.2 (API 19), orthogonal rulers along the X and Y axes are superimposed on the Glass eyepiece and calibrated for measurement accuracy. To evaluate system performance, we conducted an ANOVA Gage Repeatability and Reproducibility (R&R) analysis with six wound care nurses measuring seven artificial wounds of various dimensions, two times each. Data was analyzed using Minitab statistical software. For width measurements, the results indicate that the total Gage R&R percent contribution was 10.2%, with 4.2% attributed to equipment variation (repeatability) and 6.0% to operator variation (reproducibility). Wound-to-wound variation was 89.8%. For length measurements, the total Gage R&R percent contribution was 16.7%, with 14.1% attributed to equipment variation and 2.6% to operator variation. Wound-to-wound length variation was 83.3%. The system received positive feedback from nurses as a hands-free measurement tool for sterile wound handling. Yet, further refinements are needed to improve system accuracy and depth measurement capabilities.
机译:本文记录了用于慢性伤口评估的测量工具的设计和验证。我们使用Google Glass™头戴式显示器(HMD)作为研究平台,开发了一种数字标尺,以免提方式动态捕获伤口尺寸。该系统由配备有红外发光二极管(IR-LED)距离传感器的Glass HMD,锂聚合物电池和定制印刷电路板组成。使用Android 4.4.2(API 19)进行编程,将沿X和Y轴的正交标尺叠加在Glass目镜上,并进行了校准,以实现测量精度。为了评估系统性能,我们与六名伤口护理护士进行了ANOVA量具可重复性和可重复性(R&R)分析,测量了七个不同尺寸的人造伤口,每次两次。使用Minitab统计软件分析数据。对于宽度测量,结果表明,总Gage R&R百分比贡献为10.2%,其中4.2%归因于设备变化(可重复性),而6.0%归因于操作员变化(可重复性)。伤口之间的差异为89.8%。对于长度测量,总的量具R&R百分比贡献为16.7%,其中14.1%归因于设备变化,而2.6%归因于操作员变化。伤口之间的长度变化为83.3%。该系统从护士那里得到了积极的反馈,作为用于无菌伤口处理的免提测量工具。然而,需要进一步的改进以提高系统精度和深度测量能力。

著录项

  • 来源
    《》|2015年|V003T14A009.1-V003T14A009.9|共9页
  • 会议地点 Boston MA(US)
  • 作者单位

    Center for Design Research Department of Mechanical Engineering Stanford University, Stanford, CA;

    Center for Design Research Department of Mechanical Engineering Department of Computer Science Stanford University, Stanford, CA;

    Center for Design Research Department of Mechanical Engineering Stanford University, Stanford, CA;

    Center for Design Research Department of Mechanical Engineering Stanford University, Stanford, CA;

    Stanford Health Care Division of General Medical Disciplines Stanford Medicine, Stanford, CA;

    Center for Design Research Department of Mechanical Engineering Stanford University, Stanford, CA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号