首页> 外文学位 >Graduate Interdisciplinary Program in Biomedical Engineering
【24h】

Graduate Interdisciplinary Program in Biomedical Engineering

机译:生物医学工程研究生跨学科课程

获取原文
获取原文并翻译 | 示例

摘要

A variety of bioengineering systems are being developed to restore the sense of touch in individuals who have lost this mode of sensory feedback because of spinal cord injury, stroke, or amputation. Typically, these systems detect touch pressure on the fingers of an insensate hand (or from a prosthetic hand in the case of amputees) and deliver the detected pressure information to sensate skin above the site of injury (for example, on the back of the neck) by electrically stimulating that skin with an intensity that matches the detected pressure. We implemented a project that involves developing a method to artificially represent tactile and proprioceptive sensations using electrotactile feedback in prosthetic users. Our system uses one set of electrodes to provide information about contact forces applied by the digits and a separate set to indicate aperture of the hand. We tested the ability of five intact human subjects to distinguish objects of varying weight, width and compliance based on electrotactile feedback arising from sensors placed on the hand of an experimenter (not visible to the subject) grasping and lifting the test objects. Over the course of five separate training sessions, we observed a statistically significant (P=0.026) improvement in the mean performance of all subjects. Thus, this study serves as proof that human subjects can learn to make sense of multichannel-multivariable electrotactile feedback to comprehend certain physical features associated with an object.
机译:正在开发各种生物工程系统来恢复因脊髓损伤,中风或截肢而失去这种感觉反馈方式的个体的触觉。通常,这些系统检测不敏感的手(或截肢者,则来自假肢)的手指上的触摸压力,并将检测到的压力信息传递给受伤部位上方的皮肤(例如,在颈背上) )以与检测到的压力相匹配的强度刺激皮肤。我们实施了一个项目,该项目涉及开发一种在假肢使用者中使用电触觉反馈来人工代表触觉和本体感受的方法。我们的系统使用一组电极来提供有关手指施加的接触力的信息,并使用单独的一组电极来指示手的孔径。我们根据放置在实验者手上的传感器(对受试者不可见)抓握并举起测试对象的传感器产生的电触觉反馈,测试了五个完整的人类对象区分体重,宽度和顺应性的对象的能力。在五个单独的培训课程中,我们观察到所有受试者的平均表现在统计学上有显着改善(P = 0.026)。因此,这项研究证明人类受试者可以学会理解多通道多变量电触觉反馈,以理解与物体相关的某些物理特征。

著录项

  • 作者

    Arakeri, Tapas Jaywant.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Neurosciences.
  • 学位 M.S.
  • 年度 2017
  • 页码 25 p.
  • 总页数 25
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:54:19

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