EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis.

EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis.
复制标题

DOI:
10.1186/s12984-015-0047-z
复制
发表时间:
2015-06-19
影响因子:
5.1
通讯作者:
Farina D
Farina D
中科院分区:
工程技术2区
文献类型:
--
作者:
Dosen S;Markovic M;Somer K;Graimann B;Farina D

文献摘要

参考文献

被引文献

相似文献

使用肌电图(EMG)信号控制的主动手假肢已经使用了几十年,以恢复截肢后失去的抓握功能。尽管肌控制是一个简单直观的界面,但由于使用表面电极记录的EMG的随机性,它也不精确。此外,从假体到用户的感觉反馈仍然缺失。在这项研究中,我们提出了一个新的概念,关闭肌电假肢的循环。除了传递抓取力(系统输出)之外,我们还向用户提供了有关系统输入(EMG生物反馈)的在线信息。作为概念验证,在当前研究中使用视觉界面(理想条件)传输EMG生物反馈。十个健全的科目和两个截肢者控制一个国家的最先进的肌电假肢在常规的把握和力转向任务,使用EMG和力反馈(新的方法)和力反馈(经典的方法)。结果措施的变化所产生的力量和绝对偏差,从目标水平在常规抓任务,和均方根跟踪误差和数量的突然下降的力转向任务。在常规的抓,新的方法时,使用健全的科目减少了两倍的力分散以及从目标力水平的绝对偏差,也导致在一个更准确和稳定的跟踪力转向过程中的参考力曲线。此外,常规抓握过程中的力变异性不会因EMG生物反馈的更高目标力而增加。这一趋势在两名截肢者中相似。该研究表明,受试者,包括两名有经验的肌电假肢用户,能够利用在线EMG生物反馈来观察和调节肌电信号,从而产生更一致的命令。这使他们能够预测性地控制力(常规抓握),并具有更高的分辨率(力转向)。未来的一步将是使用电触觉接口来实现这种有前途的简单方法。一个具有可靠响应的假肢,忠实地遵循用户的意图,将提高日常生活中使用的实用性,也有利于辅助系统的实施。本文的在线版本(doi:10.1186/s12984-015-0047-z)包含补充材料,可供授权用户使用。
Active hand prostheses controlled using electromyography (EMG) signals have been used for decades to restore the grasping function, lost after an amputation. Although myocontrol is a simple and intuitive interface, it is also imprecise due to the stochastic nature of the EMG recorded using surface electrodes. Furthermore, the sensory feedback from the prosthesis to the user is still missing. In this study, we present a novel concept to close the loop in myoelectric prostheses. In addition to conveying the grasping force (system output), we provided to the user the online information about the system input (EMG biofeedback). As a proof-of-concept, the EMG biofeedback was transmitted in the current study using a visual interface (ideal condition). Ten able-bodied subjects and two amputees controlled a state-of-the-art myoelectric prosthesis in routine grasping and force steering tasks using EMG and force feedback (novel approach) and force feedback only (classic approach). The outcome measures were the variability of the generated forces and absolute deviation from the target levels in the routine grasping task, and the root mean square tracking error and the number of sudden drops in the force steering task. During the routine grasping, the novel method when used by able-bodied subjects decreased twofold the force dispersion as well as absolute deviations from the target force levels, and also resulted in a more accurate and stable tracking of the reference force profiles during the force steering. Furthermore, the force variability during routine grasping did not increase for the higher target forces with EMG biofeedback. The trend was similar in the two amputees. The study demonstrated that the subjects, including the two experienced users of a myoelectric prosthesis, were able to exploit the online EMG biofeedback to observe and modulate the myoelectric signals, generating thereby more consistent commands. This allowed them to control the force predictively (routine grasping) and with a finer resolution (force steering). The future step will be to implement this promising and simple approach using an electrotactile interface. A prosthesis with a reliable response, following faithfully user intentions, would improve the utility during daily-life use and also facilitate the embodiment of the assistive system. The online version of this article (doi:10.1186/s12984-015-0047-z) contains supplementary material, which is available to authorized users.
DOI: 10.1016/j.jneumeth.2014.07.016
发表时间: 2015-04-15
影响因子: 3
作者:
Pasquina, Paul F.;Evangelista, Melissa;Carvalho, A. J.;Lockhart, Joseph;Griffin, Sarah;Nanos, George;McKay, Patricia;Hansen, Morten;Ipsen, Derek;Vandersea, James;Butkus, Josef;Miller, Matthew;Murphy, Ian;Hankin, David
通讯作者: Hankin, David
DOI: 10.1016/j.jelekin.2006.08.006
发表时间: 2006-12-01
影响因子: 2.5
作者:
Parker, P.;Englehart, K.;Hudgins, B.
通讯作者: Hudgins, B.
DOI: 10.1080/03093640600994581
发表时间: 2007-09-01
影响因子: 1.5
作者:
Biddiss, Elaine A.;Chau, Tom T.
通讯作者: Chau, Tom T.
DOI: 10.1109/tnsre.2014.2371238
发表时间: 2015-03-01
影响因子: 4.9
作者:
Dosen, Strahinja;Markovic, Marko;Farina, Dario
通讯作者: Farina, Dario
DOI: 10.1109/tnsre.2014.2318431
发表时间: 2014-09-01
影响因子: 4.9
作者:
Ninu, Andrei;Dosen, Strahinja;Farina, Dario
通讯作者: Farina, Dario