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首页> 外文期刊>Journal of NeuroEngineering Rehabilitation >Electromyogram synergy control of a dexterous artificial hand to unscrew and screw objects
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Electromyogram synergy control of a dexterous artificial hand to unscrew and screw objects

机译:灵巧的人工手的肌电图协同控制,以拧开和拧紧物体

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Background Due to their limited dexterity, it is currently not possible to use a commercially available prosthetic hand to unscrew or screw objects without using elbow and shoulder movements. For these tasks, prosthetic hands function like a wrench, which is unnatural and limits their use in tight working environments. Results from timed rotational tasks with human subjects demonstrate the clinical need for increased dexterity of prosthetic hands, and a clinically viable solution to this problem is presented for an anthropomorphic artificial hand. Methods Initially, a human hand motion analysis was performed during a rotational task. From these data, human hand synergies were derived and mapped to an anthropomorphic artificial hand. The synergy for the artificial hand is controlled using conventional dual site electromyogram (EMG) signals. These EMG signals were mapped to the developed synergy to control four joints of the dexterous artificial hand simultaneously. Five limb absent and ten able-bodied test subjects participated in a comparison study to complete a timed rotational task as quickly as possible with their natural hands (except for one subject with a bilateral hand absence), eight commercially available prosthetic hands, and the proposed synergy controller. Each test subject used two to four different artificial hands. Results With the able-bodied subjects, the developed synergy controller reduced task completion time by 177% on average. The limb absent subjects completed the task faster on average than with their own prostheses by 46%. There was a statistically significant improvement in task completion time with the synergy controller for three of the four limb absent participants with integrated prostheses, and was not statistically different for the fourth. Conclusions The proposed synergy controller reduced average task completion time compared to commercially available prostheses. Additionally, the synergy controller is able to function in a small workspace and requires less physical effort since arm movements are not required. The synergy controller is driven by conventional dual site EMG signals that are commonly used for prosthetic hand control, offering a viable solution for people with an upper limb absence to use a more dexterous artificial hand to screw or unscrew objects.
机译:背景技术由于它们的灵巧性有限,当前不可能在不使用肘部和肩膀运动的情况下使用市售的假手来拧松或拧紧物体。对于这些任务,假手的作用就像扳手,这是不自然的,并且限制了其在严密的工作环境中的使用。来自与人类受试者的定时旋转任务的结果表明,临床上需要增加假手的灵活性,并且针对拟人化的人造手提出了对该问题的临床可行解决方案。方法最初,在旋转任务期间进行了人的手部运动分析。从这些数据中,得出人的手协同作用,并将其映射到拟人化的人工手。使用常规的双位肌电图(EMG)信号控制人造手的协同作用。这些EMG信号被映射到已开发的协同作用,以同时控制灵巧人工手的四个关节。五名肢体缺失和十名身体健全的测试对象参加了一项比较研究,以他们的自然手(除了一只没有双侧手的对象),八只市售义肢和拟议的手尽快完成定时旋转任务协同控制器。每个测试对象使用两到四个不同的人工手。结果对于健全的受试者,开发的协同控制器平均使任务完成时间减少了177%。没有肢体的受试者平均完成任务的速度比使用假肢快46%。具有协同作用控制器的四肢缺席假肢参与者中有三名具有集成假体,其中任务完成时间有统计学上的显着改善,而第四名没有统计学差异。结论与市售假体相比,拟议的协同控制器减少了平均任务完成时间。另外,由于不需要手臂运动,因此协同控制器能够在较小的工作空间中工作并且需要较少的体力劳动。协同控制器由通常用于假肢手控制的传统双站点EMG信号驱动,为缺少上肢的人使用更灵巧的人造手拧紧或拧开物体提供了可行的解决方案。

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