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肌电控制是闭环控制:偶然的反馈足以对日常抓握中的假体力进行缩放。

Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping.

机构信息

Applied Rehabilitation Technology Lab (ART-Lab), Department of Trauma Surgery, Orthopedics and Plastic Surgery, University Medical Center Göttingen, Georg-August-University, 37075, Göttingen, Germany.

Faculty of Life Sciences, Hochschule für Angewandte Wissenschaften Hamburg, Ulmenliet 20, 21033, Hamburg, Germany.

出版信息

J Neuroeng Rehabil. 2018 Sep 3;15(1):81. doi: 10.1186/s12984-018-0422-7.

Abstract

BACKGROUND

Sensory feedback is critical for grasping in able-bodied subjects. Consequently, closing the loop in upper-limb prosthetics by providing artificial sensory feedback to the amputee is expected to improve the prosthesis utility. Nevertheless, even though amputees rate the prospect of sensory feedback high, its benefits in daily life are still very much debated. We argue that in order to measure the potential functional benefit of artificial sensory feedback, the baseline open-loop performance needs to be established.

METHODS

The myoelectric control of naïve able-bodied subjects was evaluated during modulation of electromyographic signals (EMG task), and grasping with a prosthesis (Prosthesis task). The subjects needed to activate the wrist flexor muscles and close the prosthesis to reach a randomly selected target level (routine grasping). To assess the baseline performance, the tasks were performed with a different extent of implicit feedback (proprioception, prosthesis motion and sound). Finally, the prosthesis task was repeated with explicit visual force feedback. The subjects' ability to scale the prosthesis command/force was assessed by testing for a statistically significant increase in the median of the generated commands/forces between neighboring levels. The quality of control was evaluated by computing the median absolute error (MAE) with respect to the target.

RESULTS

The subjects could successfully scale their motor commands and generated prosthesis forces across target levels in all tasks, even with the least amount of implicit feedback (only muscle proprioception, EMG task). In addition, the deviation of the generated commands/forces from the target levels decreased with additional feedback. However, the increase in implicit feedback, from proprioception to prosthesis motion and sound, seemed to have a more substantial effect than the final introduction of explicit feedback. Explicit feedback improved the performance mainly at the higher target-force levels.

CONCLUSIONS

The study establishes the baseline performance of myoelectric control and prosthesis grasping force. The results demonstrate that even without additional feedback, naïve subjects can effectively modulate force with good accuracy with respect to that achieved when increasing the amount of feedback information.

摘要

背景

感觉反馈对于健全人抓握至关重要。因此,通过向截肢者提供人工感觉反馈来为上肢假肢闭环,有望提高假肢的实用性。然而,尽管截肢者对感觉反馈的前景评价很高,但它在日常生活中的益处仍存在很大争议。我们认为,为了衡量人工感觉反馈的潜在功能益处,需要建立开环的基线性能。

方法

在调制肌电图信号(EMG 任务)和使用假肢进行抓握(假肢任务)期间,评估了未经训练的健全受试者的肌电控制。受试者需要激活腕部屈肌并关闭假肢以达到随机选择的目标水平(常规抓握)。为了评估基线性能,在不同程度的隐含反馈(本体感觉、假肢运动和声音)下执行任务。最后,使用明确的视觉力反馈重复假肢任务。通过测试相邻水平之间生成的命令/力的中位数是否存在统计学上的显著增加来评估受试者调整假肢命令/力的能力。通过计算相对于目标的中位数绝对误差(MAE)来评估控制质量。

结果

即使在仅具有肌肉本体感觉(EMG 任务)的情况下,受试者也可以在所有任务中成功地调整其运动命令并产生跨越目标水平的假肢力。此外,随着反馈的增加,生成的命令/力与目标水平的偏差减小。然而,从本体感觉增加到假肢运动和声音的隐含反馈似乎比最终引入明确反馈具有更大的影响。明确的反馈主要在更高的目标力水平提高了性能。

结论

该研究确立了肌电控制和假肢抓握力的基线性能。结果表明,即使没有额外的反馈,未经训练的受试者也可以有效地调节力,并且相对于增加反馈信息量时的精度,可以很好地控制力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/454f/6122439/731164dffad8/12984_2018_422_Fig1_HTML.jpg

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