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首页> 美国卫生研究院文献>PLoS Clinical Trials >Evaluation of intuitive trunk and non-intuitive leg sEMG control interfaces as command input for a 2-D Fitts’s law style task
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Evaluation of intuitive trunk and non-intuitive leg sEMG control interfaces as command input for a 2-D Fitts’s law style task

机译：评估直觉躯干和非直觉腿的sEMG控制界面，作为二维Fitts法式任务的命令输入

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摘要

Duchenne muscular dystrophy (DMD) is a muscular condition that leads to muscle loss. Orthotic devices may present a solution for people with DMD to perform activities of daily living (ADL). One such device is the active trunk support but it needs a control interface to identify the user’s intention. Myoelectric control interfaces can be used to detect the user’s intention and consequently control an active trunk support. Current research on the control of orthotic devices that use surface electromyography (sEMG) signals as control inputs, focuses mainly on muscles that are directly linked to the movement being performed (intuitive control). However in some cases, it is hard to detect a proper sEMG signal (e.g., when there is significant amount of fat), which can result in poor control performance. A way to overcome this problem might be the introduction of other, non-intuitive forms of control. This paper presents an explorative study on the comparison and learning behavior of two different control interfaces, one using sEMG of trunk muscles (intuitive) and one using sEMG of leg muscles that can be potentially used for an active trunk support (non-intuitive). Six healthy subjects undertook a 2-D Fitts’s law style task. They were asked to steer a cursor into targets that were radially distributed symmetrically in five directions. The results show that the subjects were generally able to learn to control the tasks using either of the control interfaces and improve their performance over time. Comparison of both control interfaces demonstrated that the subjects were able to learn the leg control interface task faster than the trunk control interface task. Moreover, the performance on the diagonal-targets was significantly lower compared to the one directional-targets for both control interfaces. Overall, the results show that the subjects were able to control a non-intuitive control interface with high performance. Moreover, the results indicate that the non-intuitive control may be a viable solution for controlling an active trunk support.
机译：杜氏肌营养不良症（DMD）是一种导致肌肉丧失的肌肉疾病。矫形设备可以为患有DMD的人们提供执行日常生活活动（ADL）的解决方案。一种这样的设备是活动后备箱支持，但它需要一个控制界面来识别用户的意图。肌电控制界面可用于检测用户的意图，从而控制主动后备箱支撑。使用表面肌电图（sEMG）信号作为控制输入的矫形设备控制的当前研究主要集中在与执行的运动直接相关的肌肉上（直观控制）。但是，在某些情况下，很难检测到适当的sEMG信号（例如，当存在大量脂肪时），这可能导致控制性能不佳。解决此问题的一种方法可能是引入其他非直观的控制形式。本文对两种不同控制界面的比较和学习行为进行了探索性研究，一种使用躯干肌sEMG（直观），另一种使用腿部肌肉sEMG（可用于主动躯干支撑）（非直观）。六名健康受试者进行了二维Fitts的法律风格任务。他们被要求将光标引导到在五个方向上径向对称分布的目标中。结果表明，受试者通常能够学习使用任何一个控制界面来控制任务，并随着时间的推移提高其性能。两种控制界面的比较表明，受试者比腿部控制界面任务能够更快地学习腿部控制界面任务。而且，与两个控制界面的一个定向目标相比，对角目标的性能明显较低。总体而言，结果表明受试者能够以高性能控制非直觉的控制界面。此外，结果表明，非直觉的控制可能是控制主动后备箱支撑的可行解决方案。

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