Mechanical Engineering Department, The University of Akron, ASEC Rm, 101, Akron, OH, USA.
J Neuroeng Rehabil. 2014 Mar 21;11:41. doi: 10.1186/1743-0003-11-41.
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.
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.
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.
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.
由于其灵活性有限,目前使用商业上可用的假肢手拧开或拧紧物体时仍需要使用肘部和肩部运动。对于这些任务,假肢手的功能类似于扳手,这既不自然,也限制了它们在紧凑工作环境中的使用。对人类受试者进行定时旋转任务的结果表明,假肢手需要更高的灵活性,并且针对拟人化人工手提出了一种临床可行的解决方案。
首先,在旋转任务中对人手运动进行了分析。从这些数据中,得出了人手协同作用,并将其映射到拟人化人工手上。人工手的协同作用通过常规双部位肌电图(EMG)信号进行控制。这些 EMG 信号被映射到所开发的协同作用上,以同时控制灵巧人工手的四个关节。五位肢体缺失和十位肢体健全的受试者参加了一项对比研究,他们使用自己的自然手(除了一位双侧手部缺失的受试者)、八种商业上可用的假肢手和所提出的协同控制器尽快完成定时旋转任务。每位受试者使用了两到四种不同的假肢手。
在肢体健全的受试者中,所开发的协同控制器平均将任务完成时间缩短了 177%。肢体缺失的受试者平均比使用自己的假肢快 46%完成任务。对于四个有集成假肢的肢体缺失参与者中的三个,协同控制器在完成任务时间上有统计学显著的改善,而对于第四个则没有统计学差异。
与商业上可用的假肢相比,所提出的协同控制器缩短了平均任务完成时间。此外,协同控制器能够在小工作空间中运行,并且需要较少的体力,因为不需要手臂运动。协同控制器由常规双部位 EMG 信号驱动,这些信号常用于假肢手控制,为上肢缺失的人提供了一种可行的解决方案,使他们能够使用更灵巧的假肢手来拧紧或拧开物体。