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使用表面功能电刺激和肌肉负荷分担控制拇指力。

Control of thumb force using surface functional electrical stimulation and muscle load sharing.

机构信息

Laboratory of Biomechanical Engineering, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, 7500 AE Enschede, The Netherlands.

出版信息

J Neuroeng Rehabil. 2013 Oct 9;10:104. doi: 10.1186/1743-0003-10-104.

Abstract

BACKGROUND

Stroke survivors often have difficulties in manipulating objects with their affected hand. Thumb control plays an important role in object manipulation. Surface functional electrical stimulation (FES) can assist movement. We aim to control the 2D thumb force by predicting the sum of individual muscle forces, described by a sigmoidal muscle recruitment curve and a single force direction.

METHODS

Five able bodied subjects and five stroke subjects were strapped in a custom built setup. The forces perpendicular to the thumb in response to FES applied to three thumb muscles were measured. We evaluated the feasibility of using recruitment curve based force vector maps in predicting output forces. In addition, we developed a closed loop force controller. Load sharing between the three muscles was used to solve the redundancy problem having three actuators to control forces in two dimensions. The thumb force was controlled towards target forces of 0.5 N and 1.0 N in multiple directions within the individual's thumb work space. Hereby, the possibilities to use these force vector maps and the load sharing approach in feed forward and feedback force control were explored.

RESULTS

The force vector prediction of the obtained model had small RMS errors with respect to the actual measured force vectors (0.22 ± 0.17 N for the healthy subjects; 0.17 ± 0.13 N for the stroke subjects). The stroke subjects showed a limited work range due to limited force production of the individual muscles. Performance of feed forward control without feedback, was better in healthy subjects than in stroke subjects. However, when feedback control was added performances were similar between the two groups. Feedback force control lead, especially for the stroke subjects, to a reduction in stationary errors, which improved performance.

CONCLUSIONS

Thumb muscle responses to FES can be described by a single force direction and a sigmoidal recruitment curve. Force in desired direction can be generated through load sharing among redundant muscles. The force vector maps are subject specific and also suitable in feedforward and feedback control taking the individual's available workspace into account. With feedback, more accurate control of muscle force can be achieved.

摘要

背景

中风幸存者在使用患侧手操纵物体时通常会遇到困难。拇指控制在物体操纵中起着重要作用。表面功能性电刺激(FES)可以辅助运动。我们的目标是通过预测个体肌肉力的总和来控制 2D 拇指力,这些肌肉力由一个 sigmoidal 肌肉募集曲线和一个单一力方向来描述。

方法

五名健康受试者和五名中风受试者被绑在一个定制的装置中。测量了响应于施加到三个拇指肌肉的 FES 的垂直于拇指的力。我们评估了使用募集曲线基于力矢量图来预测输出力的可行性。此外,我们开发了一个闭环力控制器。使用三个肌肉之间的负载共享来解决具有三个致动器来控制二维力的冗余问题。在个体的拇指工作空间内的多个方向上,将拇指力控制到 0.5N 和 1.0N 的目标力。在此,探索了在力前馈和反馈控制中使用这些力矢量图和负载共享方法的可能性。

结果

所获得的模型的力矢量预测相对于实际测量的力矢量具有较小的均方根误差(健康受试者为 0.22 ± 0.17N;中风受试者为 0.17 ± 0.13N)。由于个体肌肉的力产生有限,中风受试者的工作范围有限。在没有反馈的情况下进行力前馈控制的性能在健康受试者中优于中风受试者。然而,当添加反馈控制时,两组的性能相似。反馈力控制,特别是对中风受试者,导致静止误差减小,从而提高了性能。

结论

FES 对拇指肌肉的反应可以用单一力方向和 sigmoidal 募集曲线来描述。通过冗余肌肉之间的负载共享,可以产生所需方向的力。力矢量图是个体特异性的,并且还适用于考虑个体可用工作空间的力前馈和反馈控制。通过反馈,可以实现更精确的肌肉力控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d13/3856586/afaf2bb7ab88/1743-0003-10-104-1.jpg

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