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上肢功能性神经刺激的抓握合成。第1部分。刺激图合成的自动化方法。

Grasp synthesis for upper-extremity FNS. Part 1. Automated method for synthesising the stimulus map.

作者信息

Kilgore K L, Peckham P H

机构信息

Veterans Administration Medical Center, Cleveland, OH.

出版信息

Med Biol Eng Comput. 1993 Nov;31(6):607-14. doi: 10.1007/BF02441809.

DOI:10.1007/BF02441809
PMID:8145587
Abstract

Functional neuromuscular stimulation (FNS) has been used in open-loop upper-extremity neuroprostheses to provide grasp and release for quadriplegic individuals. A principal issue in implementation of the open-loop neuroprosthesis is the synthesis of the grasp stimulus map, which is the relationship between the input control signal and the output stimulus applied to each electrode. The goal of this project was to develop a method of stimulus map synthesis which compensates for the influence of the electrode-position-dependent recruitment properties on the grasp output, and which can be performed using automated procedures. A method called the external moment grasp synthesis procedure (GSP) has been developed which meets these criteria. The GSP uses an external moment of model of the hand which describes the interaction between the active moments produced by electrical stimulation, the passive joint moments and the total joint moment and angle. The GSP was used to develop the stimulus map for three paralysed subjects, and in all cases the GSP-generated grasp patterns had lower errors than grasp patterns developed using the previously implemented rule-based method of stimulus map synthesis. The GSP was successfully implemented by computer and was able to compensate for the effects of the electrode recruitment properties on the grasp pinch force.

摘要

功能性神经肌肉电刺激(FNS)已被用于开环上肢神经假体,为四肢瘫痪患者提供抓握和松开功能。开环神经假体实施中的一个主要问题是抓握刺激图谱的合成,即输入控制信号与施加到每个电极的输出刺激之间的关系。本项目的目标是开发一种刺激图谱合成方法,该方法能够补偿电极位置依赖性募集特性对抓握输出的影响,并且可以通过自动化程序来执行。一种称为外部力矩抓握合成程序(GSP)的方法已经被开发出来,它满足了这些标准。GSP使用手部模型的外部力矩,该模型描述了电刺激产生的主动力矩、被动关节力矩以及总关节力矩和角度之间的相互作用。GSP被用于为三名瘫痪受试者开发刺激图谱,在所有情况下,GSP生成的抓握模式比使用先前实施的基于规则的刺激图谱合成方法开发的抓握模式具有更低的误差。GSP已成功通过计算机实现,并且能够补偿电极募集特性对抓握捏力的影响。

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