Automatic determination of synergies by radial basis function artificial neural networks for the control of a neural prosthesis

Automatic determination of synergies by radial basis function artificial neural networks for the control of a neural prosthesis
复制标题

DOI:
10.1109/tnsre.2005.858458
复制
发表时间:
2005-12-01
影响因子:
4.9
通讯作者:
Popovic, MB
Popovic, MB
中科院分区:
工程技术2区
文献类型:
--
作者:
Iftime, SD;Egsgaard, LL;Popovic, MB

文献摘要

被引文献

相似文献

本文介绍了一种自动化的方法,综合控制的神经假体(NP),可以增加肘关节屈曲/伸展和前臂旋前/旋后的偏瘫患者。控制的基础是一个协同模型的达成和把握,利用手臂和身体部分之间的时间和空间的协同作用。的协同作用,确定从测量的运动数据在非残疾人在执行功能任务。工作空间分为六个区域:距离(两个属性)和偏侧性(三个属性)。径向基函数人工神经网络(RBF ANN)被用来确定协同作用。选择具有良好泛化能力的RBF神经网络集作为肘关节屈曲/伸展和前臂旋前/旋后的控制律。进行了三个类别的验证:受试者间,距离,和偏侧概括。对于所有定义的空间协同效应,相关性是高的学科间和距离,但低的偏侧性的情况。这表明有必要为不同的方向实现不同的地图,但为不同的距离实现相同的地图。上臂的自然运动然后驱动下臂(肘屈曲/伸展和前臂旋前/旋后),其方式非常适合于在损伤发作后不久对偏瘫患者进行功能性电疗(FET)。
This paper describes an automatic method for synthesizing the control for a neural prosthesis (NP) that could augment elbow flexion/extension and forearm pronation/supination in persons with hemiplegia. The basis for the control was a synergistic model of reaching and grasping that uses temporal and spatial synergies between the arm and body segments. The synergies were determined from the movement data measured in nondisabled persons during the performance of functional tasks. The work space was divided into six zones: distance (two attributes) and laterality (three attributes). Radial basis function artificial neural networks (RBF ANN) were used to determine synergies. Sets of RBF ANN characterized with good generalization were selected as control laws for elbow flexion/extension and forearm pronation/supination. The validation was performed for three categories: inter-subject, distance, and laterality generalization. For all of the defined spatial synergies, the correlation was high for inter-subject and distance, yet low for the laterality scenario. This suggests the necessity for implementing different maps for different directions, but the same maps for different distances. The natural movements of the upper arm then drive the lower arm (elbow flexion/extension and forearm pronation/supination) in a way that is very well suited for the administration of functional electrical therapy (FET) in persons with hemiplegia soon after the onset of impairment.