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基于点偶极子模型的肌动控制界面追踪多个植入磁铁的可行性:仿真与实验证据。

Feasibility of Tracking Multiple Implanted Magnets With a Myokinetic Control Interface: Simulation and Experimental Evidence Based on the Point Dipole Model.

出版信息

IEEE Trans Biomed Eng. 2020 May;67(5):1282-1292. doi: 10.1109/TBME.2019.2935229. Epub 2019 Aug 14.

DOI:10.1109/TBME.2019.2935229
PMID:31425017
Abstract

OBJECTIVE

The quest for an intuitive and physiologically appropriate human-machine interface for the control of dexterous prostheses is far from being completed. To control a hand prosthesis, a possible approach could consist in using information related to the displacement of forearm muscles of an amputee during contraction. We recently proposed that muscle displacement could be monitored by implanting passive magnetic markers (MMs- i.e., permanent magnets) in them. We dubbed this the myokinetic interface. However, besides the system feasibility, how much its accuracy, precision and computation time are affected by the number and distribution of both the MMs and the sensors used to record the MF was not quantified.

METHODS

Here we investigated, through simulations validated with a physical system, the performance of a system capable to track position and orientation of up to 9 MMs using information from up to 112 sensors in a volume resembling the dimensions of the human forearm.

RESULTS

The system was able to track up to 7 MMs in 450 ms, demonstrating position/orientation accuracies in the range of 1 mm/5°. The comparison with the experimental recordings demonstrated a median difference with the simulations in the order of 0.45 mm.

CONCLUSION

We were able to formulate general guidelines for the implementation of magnetic tracking systems.

SIGNIFICANCE

Our results pave the way towards the development of new human-machine interfaces for the control of artificial limbs, but they are also interesting for the whole range of biomedical engineering applications exploiting magnetic tracking.

摘要

目的

寻找一种直观且符合生理学的灵巧假肢控制人机界面仍然任重道远。为了控制手假肢,一种可能的方法是利用截肢者前臂肌肉收缩时的位移信息。我们最近提出可以通过在肌肉中植入无源磁性标记(即永磁体)来监测肌肉位移,我们将这种方法称为运动学接口。然而,除了系统的可行性,其准确性、精度和计算时间会受到用于记录磁场的 MM 和传感器的数量和分布的影响,这一点尚未量化。

方法

在这里,我们通过使用类似于人体前臂尺寸的体积中的多达 112 个传感器来验证物理系统的模拟,研究了一种能够跟踪多达 9 个 MM 位置和方向的系统性能。

结果

该系统能够在 450ms 内跟踪多达 7 个 MM,位置/方向精度在 1mm/5°范围内。与实验记录的比较表明,模拟与实验记录的中位数差异约为 0.45mm。

结论

我们能够为实施磁跟踪系统制定一般准则。

意义

我们的结果为控制人工肢体的新型人机界面的开发铺平了道路,但它们对于利用磁跟踪的整个生物医学工程应用领域也具有重要意义。

相似文献

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Feasibility of Tracking Multiple Implanted Magnets With a Myokinetic Control Interface: Simulation and Experimental Evidence Based on the Point Dipole Model.基于点偶极子模型的肌动控制界面追踪多个植入磁铁的可行性:仿真与实验证据。
IEEE Trans Biomed Eng. 2020 May;67(5):1282-1292. doi: 10.1109/TBME.2019.2935229. Epub 2019 Aug 14.
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