Human Factors Approaches to the Design of Tools and Non-Invasive Treatments for Repetitive Strain Injuries

重复性劳损工具设计和非侵入性治疗的人为因素方法

• 批准号: RGPIN-2014-03632
• 负责人: Oliver, Michele
• 金额: $ 1.6万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=565992
• 关键词: Human; Factors; Approaches; Design; Tools

The goal of this proposal is the development of human factors approaches to the design of tools and non-invasive treatments for repetitive strain injuries. The first research objective will use my new 6 DOF heavy mobile equipment simulator (funded using NSERC RTI 1 and Accelerator grants) housed in my newly expanded motion capture laboratory. The simulator makes use of our extensive library of field based vibration profiles to drive a hexapod robotic platform while an operator manipulates joystick controllers. We have published widely in this area and have amassed one of the most diverse catalogs in the world of off-road 6 DOF vehicle vibration field profiles. In order to best mimic actual working conditions, the simulator incorporates visual as well as haptic feedback such as would be seen and felt in an operating piece of heavy, mobile machinery. Accelerator funds were also used to purchase a pair of haptic controls coupled with a virtual reality head mount display and eye tracking as was software which allows us to create virtual environments. The simulator facility allows us to simultaneously investigate combinations of biomechanical, physiological, and psychophysical basic and applied research questions under realistic operating conditions. The first project to be pursued in this proposal will be the development and dynamic validation of a spatial 5-bar model of a joystick and operator’s upper limb. Once the model is developed, it will be validated using the simulator to assess how well it can predict the kinematic and kinetic variables for the operator’s arm and joystick. In the available literature, to my knowledge, no other research group in the world has suggested the development of a human-joystick linkage model to virtually design a joystick. These joystick design protocols could lead to design and assessment software for industrial use thus helping industry to minimize the number of prototypes that need to be built. The second project will log location and speed (via GPS) as well as rotational and translational accelerations from a working vehicle chassis in order to collect field data for an off road mobile machine such as a forestry skidder. GPS position data will then be combined with satellite images to be used with Geographic Information Software. The processed information including the vibration data will then be merged and implemented using previously developed vibration modeling techniques on the heavy equipment simulator to create location specific interactive virtual reality simulations. This will allow new devices such as joysticks, armrests and heavy equipment seats to be tested in the lab to ensure that they will work effectively when they are installed in working heavy equipment that will be used in specific locations and terrains. The second research objective involves the development of increasingly more realistic finite element models of the hand and wrist with the ultimate goal of being able to virtually predict internal wrist stress and strain in order virtually assess tools before they are built as well as to design non-surgical treatments for things such as carpal tunnel syndrome (CTS). One project will create linear elastic FE models for two wrist postures in order to quantify carpal tunnel volume and stresses in the transverse carpal ligament. The next project will expand upon this by including more soft tissue components such as nerves, muscles, tendons, fat and skin. CTS splints will also be designed virtually and evaluated through these FE models to establish which splints result in the lowest TCL stress and largest carpal tunnel volume thus helping to guide non-invasive splinting treatment methods for CTS. The final project will develop viscoelastic FE models of the hand and wrist.

该提案的目的是开发人为因素设计工具设计和无创治疗方法的方法。第一个研究目标将使用我的新6 DOF重型移动设备模拟器（使用NSERC RTI 1和ACCELERATOR GRANTS资助），该模拟器已安装在我新扩展的运动捕获实验室中。模拟器利用了我们广泛的基于现场的振动轮廓库来驱动六边形机器人平台，而操作员则操纵操纵杆控制器。我们在该领域广泛出版，并积累了越野6 DOF车辆振动磁场轮廓世界上最多样化的目录之一。为了最好地模仿实际的实际工作条件，模拟器结合了视觉和触觉反馈，例如在运行的重型移动机械中可以看到和感受。加速器资金还用于购买一对触觉控件，以及虚拟现实头安装显示器和眼睛跟踪以及软件，这使我们能够创建虚拟环境。模拟器设施使我们能够同时研究在现实的工作条件下生物力学，物理和心理物理基础和应用研究问题的组合。该提案中要追求的第一个项目是开发和动态验证操纵杆和操作员上肢的空间5杆模型。一旦开发模型，它将使用模拟器对其进行验证，以评估其能够为操作员的手臂和操纵杆预测运动学和动力学变量。据我所知，在现有文献中，世界上没有其他研究小组提出了人类乔伊斯键的链接模型来实际上设计操纵杆。这些操纵杆设计协议可能会导致工业使用的设计和评估软件，从而帮助工业最大程度地减少第二个项目将记录位置和速度（通过GPS），以及从工车机箱中的旋转和翻译加速度，以收集诸如Forertry Skidder之类的越野移动机器的现场数据。然后，GPS位置数据将与卫星图像结合使用，该图像与地理信息软件一起使用。然后，将使用先前开发的振动建模技术在重设备模拟器上合并并实现处理的信息，包括振动数据，以创建特定位置的交互式虚拟现实模拟。这将允许在实验室进行测试的新设备，例如操纵杆，扶手和重型设备座椅，以确保将它们安装在可在特定位置和地形中使用的工作重型设备中时有效工作。第二个研究目标涉及手动和手腕的越来越现实的有限元模型的开发，其最终目标是能够实际上预测内手腕的压力和压力，以便在构建工具以及为诸如腕管综合征（CTS）等事物设计非手术治疗之前进行实际评估。一个项目将为两个腕部姿势创建线性弹性Fe模型，以量化腕骨韧带中的腕管体积和应力。下一个项目将通过包括更多软组织组件（例如神经，肌肉，肌腱，脂肪和皮肤）来扩展这一点。 CTS隔板还将虚拟设计并通过这些FE模型进行评估，以确定哪些夹板会导致最低的TCL应力和最大的腕管体积，从而有助于指导CTS的非侵入性分裂处理方法。最终项目将开发手和腕部的粘弹性FE模型。