EMG-driven control in lower limb prostheses: a topic-based systematic review.
EMG-driven control in lower limb prostheses: a topic-based systematic review.
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DOI：
10.1186/s12984-022-01019-1
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发表时间：
2022-05-07
影响因子：
5.1
通讯作者：
De Michieli, Lorenzo
中科院分区：
文献类型：
--
作者：
Cimolato, Andrea;Driessen, Josephus J. M.;Mattos, Leonardo S.;De Momi, Elena;Laffranchi, Matteo;De Michieli, Lorenzo
用户无法直接直观地控制他们最先进的商业假肢，导致设备接受率低。由于基于肌电图（EMG）的控制有可能解决这些缺陷，因此研究将其纳入微处理器控制的下肢假体（MLLPs）的研究蓬勃发展。然而，尽管提出了这样做的好处，但与上肢同类产品相比，没有明确的解释为什么没有商业产品。本文旨在对肌电驱动的mllp控制方法进行比较综述，确定其前景和局限性，并对未来的研究和发展提出建议。这是通过系统地回顾EMG mllp的学术研究来完成的。特别地，这篇综述是通过考虑四个主要主题来构建的：(1)神经控制的类型，它讨论了允许神经系统通过肌肉控制假肢装置的方法；(2)肌电信号驱动控制器的类型，定义了文献中提出的不同类型的肌电信号控制器；(3)神经输入和处理类型，描述肌电驱动控制器的实现方式；(4)性能评估类型，报告当前最先进控制器的性能。结果表明，缺乏定量和标准化的测量方法，阻碍了分析比较不同肌电驱动控制器性能的可能性。关于这个问题，肌电驱动控制器对mllp的真正功效尚未得到验证。尽管如此，为了验证肌电mllp的标准化方法的发展，文献表明，结合多种神经控制器类型有可能开发出更无缝、更可靠的肌电驱动控制。该解决方案有望保留目前使用的非肌电驱动控制器在有节奏活动（如行走）中的高性能，同时提高诸如任务切换或非重复性动作等意志活动的性能。尽管肌电信号驱动的控制器存在许多缺点，例如对噪声的高灵敏度，但最近在假肢控制（仿生学）的侵入性神经接口方面取得的进展将允许在用户和mllp之间建立更可靠的连接。因此，集成肌电驱动控制的动力mllp的进步有可能大大减少目前影响下肢截肢者的心身疾病和肌肉骨骼退行性病变的影响。
The inability of users to directly and intuitively control their state-of-the-art commercial prosthesis contributes to a low device acceptance rate. Since Electromyography (EMG)-based control has the potential to address those inabilities, research has flourished on investigating its incorporation in microprocessor-controlled lower limb prostheses (MLLPs). However, despite the proposed benefits of doing so, there is no clear explanation regarding the absence of a commercial product, in contrast to their upper limb counterparts. This manuscript aims to provide a comparative overview of EMG-driven control methods for MLLPs, to identify their prospects and limitations, and to formulate suggestions on future research and development. This is done by systematically reviewing academical studies on EMG MLLPs. In particular, this review is structured by considering four major topics: (1) type of neuro-control, which discusses methods that allow the nervous system to control prosthetic devices through the muscles; (2) type of EMG-driven controllers, which defines the different classes of EMG controllers proposed in the literature; (3) type of neural input and processing, which describes how EMG-driven controllers are implemented; (4) type of performance assessment, which reports the performance of the current state of the art controllers. The obtained results show that the lack of quantitative and standardized measures hinders the possibility to analytically compare the performances of different EMG-driven controllers. In relation to this issue, the real efficacy of EMG-driven controllers for MLLPs have yet to be validated. Nevertheless, in anticipation of the development of a standardized approach for validating EMG MLLPs, the literature suggests that combining multiple neuro-controller types has the potential to develop a more seamless and reliable EMG-driven control. This solution has the promise to retain the high performance of the currently employed non-EMG-driven controllers for rhythmic activities such as walking, whilst improving the performance of volitional activities such as task switching or non-repetitive movements. Although EMG-driven controllers suffer from many drawbacks, such as high sensitivity to noise, recent progress in invasive neural interfaces for prosthetic control (bionics) will allow to build a more reliable connection between the user and the MLLPs. Therefore, advancements in powered MLLPs with integrated EMG-driven control have the potential to strongly reduce the effects of psychosomatic conditions and musculoskeletal degenerative pathologies that are currently affecting lower limb amputees.
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影响因子：
5.7
作者：
Cote-Allard, Ulysse;Campbell, Evan;Scheme, Erik
通讯作者：
Scheme, Erik
影响因子：
27.4
作者：
BURKE, MJ;ROMAN, V;WRIGHT, V
通讯作者：
WRIGHT, V
DOI：
10.1016/j.jelekin.2008.08.005
发表时间：
2009-10-01
期刊：
Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
影响因子：
--
作者：
Blackburn, J Troy;Bell, David R;Engstrom, Lauren A
通讯作者：
Engstrom, Lauren A
影响因子：
--
作者：
Behr J;Friedly J;Molton I;Morgenroth D;Jensen MP;Smith DG
通讯作者：
Smith DG
影响因子：
3.2
作者：
Bohannon, Richard W.
通讯作者：
Bohannon, Richard W.