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基于控制小腿动力学的功能性电刺激对人体步态的控制

Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics.

作者信息

Rezaee Zohre, Kobravi Hamid Reza

机构信息

Research Center of Biomedical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran.

出版信息

Basic Clin Neurosci. 2020 Jan-Feb;11(1):1-14. doi: 10.32598/bcn.11.1.173.2. Epub 2020 Jan 1.

Abstract

INTRODUCTION

Efficient gait control using Functional Electrical Stimulation (FES) is an open research problem. In this research, a new intermittent controller has been designed to control the human shank movement dynamics during gait.

METHODS

In this approach, first, the three-dimensional phase space was constructed using the human shank movement data recorded from the healthy subjects. Then, three iterated sine-circle maps were extracted in the mentioned phase space. The three identified one-dimensional maps contained the essential information about the shank movement dynamics during a gait cycle. Next, an intermittent fuzzy controller was designed to control the shank angle. According to the adopted intermittent control strategy, the fuzzy controller is activated whenever the shank angle is far enough from the specific. The specific points are described using the identified iterated maps in the constructed phase space. In this manner, the designed controller is activated during a short-time fraction of the gait cycle time.

RESULTS

The designed intermittent controller was evaluated through some simulation studies on a two-joint musculoskeletal model. The obtained results suggested that the pattern of the obtained hip and knee joint trajectories, the outputs of the musculoskeletal model, were acceptably similar to the joints' trajectories pattern of healthy subjects.

CONCLUSION

The intriguing similarity was observed between the dynamics of the recorded human data and those of the controlled musculoskeletal model. It supports the acceptable performance of the proposed control strategy.

摘要

引言

利用功能性电刺激(FES)实现高效的步态控制是一个开放的研究问题。在本研究中,设计了一种新的间歇控制器,用于在步态过程中控制人体小腿的运动动力学。

方法

在该方法中,首先,利用从健康受试者记录的人体小腿运动数据构建三维相空间。然后,在上述相空间中提取三个迭代正弦圆映射。这三个识别出的一维映射包含了步态周期中小腿运动动力学的基本信息。接下来,设计了一个间歇模糊控制器来控制小腿角度。根据所采用的间歇控制策略,只要小腿角度离特定点足够远,模糊控制器就会被激活。这些特定点使用在构建的相空间中识别出的迭代映射来描述。通过这种方式,设计的控制器在步态周期时间的一小部分时间内被激活。

结果

通过对双关节肌肉骨骼模型的一些模拟研究对设计的间歇控制器进行了评估。获得的结果表明,肌肉骨骼模型的输出——所获得的髋关节和膝关节轨迹模式与健康受试者的关节轨迹模式具有可接受的相似性。

结论

在记录的人体数据动力学与受控肌肉骨骼模型的动力学之间观察到了有趣的相似性。这支持了所提出控制策略的可接受性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77a0/7253817/429b223c9848/BCN-11-1-g001.jpg

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