MULTIJOINT CONTROL FOR LOWER EXTREMITY NEUROPROSTHESES
下肢神经假体的多关节控制
基本信息
- 批准号:2379713
- 负责人:
- 金额:$ 28.65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1995
- 资助国家:美国
- 起止时间:1995-03-15 至 1999-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
DESCRIPTION (Adapted from the Applicant's Abstract): The long-term
goal of this research is to develop electrical stimulation systems that
provide home and workplace mobility to paraplegic and hemiplegic
patients having paralysis arising from spinal cord injury, stroke or
head injury. This work is directed toward the development of
rehabilitative devices that do not require substantial orthoses. There
is a need for improved control of motion, so as to achieve better
balance, smoother and more energy efficient locomotion, reliable
accomplishment of stair climbing and descent, and crutch walking. This
project will addresses critical control problems whose solution is
necessary for neuroprostheses to attain these goals. The underlying
scientific hypothesis of the proposed work is that specified motions of
the knee, ankle and hip can be achieved by feedback controllers which,
on the basis of real time measurements of joint angles, foot endpoint
position and foot contact forces, modulate the co-stimulation of
muscles, and consequently the net moments and mechanical impedances at
each joint, so as to obtain the desired motion. A second hypothesis is
that there are multiple sets of stimulus waveforms that achieve the same
motion, and that the amount of co-stimulation involved in each set is
related to the ability of the control system to achieve the prescribed
trajectory despite mechanical disturbances. A third hypothesis is that
the amount of co-stimulation is related to the duration of effective
control (e.g., the fatigue resistance). This project will test these
hypotheses by developing and characterizing the performance of such
feedback controllers. Specific Aims are: 1) to develop and
experimentally verify predictive models of electrically-stimulated muscle
response. Models will be developed for the ankle, knee and hip joints
(separately and in combination), and will account for co-stimulation of
agonist muscle electrodes, modulation of stimulus pulse frequency and
width, passive and external mechanical loads, and muscle fatigue.
Models relating electrical stimulation and joint angles to generated net
joint moments and the active stiffness and damping of the resulting
biomechanical systems will be considered; 2) to develop and evaluate the
ability of feedback controllers that modulate electrical stimulation to
achieve specified trajectories of joint angles and/or contact forces;
and 3) the best of these controllers will be applied to the achievement
of improved stair ascent and descent by paraplegic patients, through
computer-controlled electrical stimulation.
描述(改编自申请人的摘要):长期
本研究的目标是开发电刺激系统,
为截瘫和偏瘫患者提供居家和工作场所的移动性
因脊髓损伤、中风或其他原因而瘫痪的患者
头部受伤。这项工作的目的是开发
不需要大量矫形器的康复装置。那里
是需要改进对运动的控制,从而达到更好的效果
平衡、更平稳、更节能的运动,可靠
完成爬楼梯、下楼梯、拐杖行走。这
项目将解决关键控制问题,其解决方案是
神经假体达到这些目标所必需的。潜在的
拟议工作的科学假设是,特定的运动
膝盖、脚踝和臀部可以通过反馈控制器来实现,
在实时测量关节角度的基础上,足部终点
位置和脚的接触力,调制共同刺激
肌肉,从而产生净力矩和机械阻抗
每个关节,从而获得所需的运动。第二个假设是
有多组刺激波形可以达到同样的效果
运动,并且每组中涉及的协同刺激量是
关系到控制系统达到规定要求的能力
尽管有机械干扰,但仍有轨道。第三个假设是
协同刺激量与有效时间长短有关
控制(例如,疲劳抗力)。该项目将测试这些
通过开发和表征这种性能的假设
反馈控制器。具体目标是:1)发展和发展
电刺激肌肉预测模型的实验验证
回应。将为脚踝、膝盖和髋关节开发模型
(单独和组合),并将考虑共同刺激
激动型肌肉电极、刺激脉冲频率的调制和
宽度、被动和外部机械载荷以及肌肉疲劳。
将电刺激和关节角度与生成的网络相关联的模型
关节力矩以及由此产生的主动刚度和阻尼力
将考虑生物力学系统;2)开发和评估
调节电刺激的反馈控制器的能力
达到关节角度和/或接触力的指定轨迹;
3)将这些控制器中最好的部分应用到实现中
截瘫患者的楼梯上升和下降改善,通过
电脑控制的电刺激。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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HOWARD Jay CHIZECK其他文献
HOWARD Jay CHIZECK的其他文献
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{{ truncateString('HOWARD Jay CHIZECK', 18)}}的其他基金
MULTIJOINT CONTROL FOR LOWER EXTREMITY NEUROPROSTHESES
下肢神经假体的多关节控制
- 批准号:
2669042 - 财政年份:1995
- 资助金额:
$ 28.65万 - 项目类别:
MULTIJOINT CONTROL FOR LOWER EXTREMITY NEUROPROSTHESES
下肢神经假体的多关节控制
- 批准号:
2272733 - 财政年份:1995
- 资助金额:
$ 28.65万 - 项目类别:
MULTIJOINT CONTROL FOR LOWER EXTREMITY NEUROPROSTHESES
下肢神经假体的多关节控制
- 批准号:
2488189 - 财政年份:1995
- 资助金额:
$ 28.65万 - 项目类别:
MULTIJOINT CONTROL FOR LOWER EXTREMITY NEUROPROSTHESES
下肢神经假体的多关节控制
- 批准号:
2272734 - 财政年份:1995
- 资助金额:
$ 28.65万 - 项目类别:
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