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Planar conformity of movements in 3D reaching tasks for persons with Multiple Sclerosis

机译:三维达到多发性硬化症的3D动作的平面概要

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Robotic rehabilitation of the upper limb has been proved beneficial for people with Multiple Sclerosis (MS). In order to provide task-specific therapy for MS, given its complex impairing nature, it is desired to take advantage of the robots’ ability to move and provide force feedback in generic three-dimensional motions. Previous investigations have shown that hand motion during reaching tasks is piecewise planar, therefore, it is possible to simplify the design of robotic rehabilitation trajectories by confining them on planes oriented in space. To do so, it must first be established whether this natural tendency for tracking a plane during hand movement is affected by the presence of neurological impairment, such as Multiple Sclerosis. This work hypothesizes that in the case of people with MS, planar mapping is not dependent on the resulting impairment. Furthermore, it is investigated whether neurophysiological models such as Fitts’ law and Minimum Jerk Model remain in effect when considering the plane-mapped trajectories and also how these are affected by MS in contrast to natural movement. To test the hypotheses a group of healthy people and a group of people with MS at various stages of the disease have performed reaching tasks in the context of a haptic-interface based Nine-Hole-Pegboard-Test (NHPT) which facilitates the generation of trajectories with various distances and durations in the three-dimensional space. The results suggest that, despite the neurological impairments, the planar adaptation of people with MS is almost as persistent as in the case of healthy people. Furthermore it is shown that Fitts’ law and MJM apply for plane-mapped trajectories and can be utilized in the design of simplified robotic rehabilitation schemes.
机译:对上肢的机器人康复已被证明对具有多发性硬化(MS)的人有益。为了为MS提供特定于任务的治疗,鉴于其复杂的性质,希望利用机器人的移动和提供通用三维运动的力量反馈的能力。以前的调查表明,达到任务期间的手动运动是分段平面,因此,通过将它们限制在空间中的平面上,可以简化机器人康复轨迹的设计。为此,必须首先建立这种在手动运动中跟踪平面的自然倾向受神经损伤的存在影响,例如多发性硬化。这项工作假设在有MS人的情况下,平面映射不依赖于此产生的损伤。此外,在考虑平面映射的轨迹时,还研究了诸如Fitts定律和最小混蛋模型的神经生理模型是否仍然有效,并且这些轨迹与自然运动相比如何受MS的影响。为了测试假设一群健康的人和疾病各个阶段的一群人已经在触觉界面的九孔-PEG板 - 测试(NHPT)的上下文中达到了任务,这有​​助于产生具有各种距离和三维空间持续距离的轨迹。结果表明,尽管神经损伤,但与健康人的情况一样,MS的人的平面适应几乎与持续存在。此外,表明FITTS的定律和MJM申请了平面映射的轨迹,并且可以用于简化的机器人康复方案的设计。

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