A musculoskeletal model of the upper extremity for use in the development of neuroprosthetic systems

A musculoskeletal model of the upper extremity for use in the development of neuroprosthetic systems
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DOI:
10.1016/j.jbiomech.2008.03.001
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发表时间:
2008-01-01
影响因子:
2.4
通讯作者:
Kirsch, Robert F.
Kirsch, Robert F.
中科院分区:
工程技术3区
文献类型:
--
作者:
Blana, Dimitra;Hincapie, Juan G.;Kirsch, Robert F.

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上肢神经假体使用功能性电刺激(FES)来恢复颈椎水平脊髓损伤患者的手臂运动功能。为了设计和测试这些系统,已经开发出肩部和肘部的生物力学模型,作为人类手臂的替代品。它可用于设计和评估FES系统以及FES控制器的具体实现。该模型可以定制,以模拟各种病理情况。例如,通过调整肌肉可以产生的最大力,该模型可以用来模拟四肢瘫痪的个体,并探索不同肌肉组的FES的影响。该模型包括6块骨骼、5个关节、9个自由度以及29块肩部和手臂肌肉。它是使用商业的、基于图形的建模和仿真程序包开发的,其他研究人员可以很容易地访问这些程序包,并且可以很容易地与其他分析程序包接口。它既可以用于正向动态(输入:肌肉激活和外部负载;输出:运动)和反向动态(输入:运动和外部负载;输出:肌肉激活)模拟。我们的模型通过将模型计算的肌肉激活与五个受试者的肩部和手臂肌肉记录的肌电信号进行比较来验证。作为其在神经假体设计中应用的一个例子,该模型被用来演示肩袖肌肉刺激的重要性,目的是恢复肱骨抬高。结论:该模型是开发和实施上肢神经假体系统的有效工具。(C)2008爱思唯尔有限公司。保留所有权利。
Upper extremity neuroprostheses use functional electrical stimulation (FES) to restore arm motor function to individuals with cervical level spinal cord injury. For the design and testing of these systems, a biomechanical model of the shoulder and elbow has been developed, to be used as a substitute for the human arm. It can be used to design and evaluate specific implementations of FES systems, as well as FES controllers. The model can be customized to simulate a variety of pathological conditions. For example, by adjusting the maximum force the muscles can produce, the model can be used to simulate an individual with tetraplegia and to explore the effects of FES of different muscle sets. The model comprises six bones, five joints, nine degrees of freedom, and 29 shoulder and arm muscles. It was developed using commercial, graphics-based modeling and simulation packages that are easily accessible to other researchers and can be readily interfaced to other analysis packages. It can be used for both forward-dynamic (inputs: muscle activation and external load; outputs: motions) and inverse-dynamic (inputs: motions and external load; outputs: muscle activation) simulations. Our model was verified by comparing the model calculated muscle activations to electromyographic signals recorded from shoulder and arm muscles of five subjects. As an example of its application to neuroprosthesis design, the model was used to demonstrate the importance of rotator cuff muscle stimulation when aiming to restore humeral elevation. It is concluded that this model is a useful tool in the development and implementation of upper extremity neuroprosthetic systems. (C) 2008 Elsevier Ltd. All rights reserved.