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触觉手套的感觉反中的人类因素

Quoc C Ngo, Barbara Polus, Dein Vindigni

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 12, 2023

概括

这项研究开发了一种廉价的传感器手套,为手动治疗培训提供触觉反. 触觉手套显示了远程脊柱操纵教育的潜力,克服了当前在线方法的局限性.

科学领域:

生物医学工程生物医学工程
康复技术康复技术康复技术

背景情况:

手动治疗培训传统上需要面对面的指导,限制了远程和农村学生的访问.
现有的基于视频的在线培训缺乏重要的触觉反,这对于手动治疗至关重要,例如脊柱操纵.

研究的目的:

开发和测试一个负担得起的传感器手套,用于监测手形状和脊柱操纵期间施加的力.
创建软件,为手动治疗培训提供触觉信息,模拟亲身学习.

主要方法:

利用商业上可用的传感器来构建一个廉价的传感器手套.
开发专有软件,将传感器数据转化为用户的触觉反.
通过严格的测试,评估了手套在力测量和用户解释方面的准确性.

主要成果:

传感器手套在较高的力级下,在力测量和用户解释方面显示出较少的误差.
训练员发现该设备非常有用,适合脊柱操纵训练.
开发的触觉手套显示了在线手动治疗教育的可行性.

结论:

廉价的触觉手套具有显著的潜力,可以增强在线手动治疗培训,特别是脊柱操纵.
这项技术可以弥合偏远或农村地区学生在培训可访问性方面的差距.
该研究验证了在手动治疗中使用传感器手套技术进行远程技能获取的可行性.

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