为瘫痪、截肢和痉挛患者开发活动辅助装置

D.C. Johnson, D. Repperger, G. Thompson
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引用次数: 35

摘要

一种外骨骼系统正在开发中,以帮助行走障碍患者的活动。个人机器人辅助的新方法解决了许多关于重量、动力、耐力和成本的经典问题。一个多功能的开发平台允许许多变化和应用,包括瘫痪,截肢和痉挛患者(MAPAS)的移动辅助。根据所需的力的大小,使用各种皮带上的支撑和支撑。MAPAS系统利用压缩气体为主要动力产生元件或肌肉提供动力。气动肌肉用于提供具有中等压力水平的可控关节扭矩。这些肌肉安装在支架上,为关节提供仅拉力扭矩。MAPAS控制系统的特点是解释关节映射。每个腿关节的功能主要是通过手指关节传感器的输出来指导的。一个六到八个传感器的测角仪为系统提供用户输入。由车载智能设备驱动的更高控制功能使手指关节输入得到增强,提供平衡、步态预测、故障恢复和痉挛特征补偿。机载储水池的环境压力水平可以改变,以适应不断变化的环境,从负重的截肢者走上楼梯到轻微痉挛的轻微矫正。整个系统是便携式的,配有机载电池、压缩空气储罐、智能算法和几何传感器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a mobility assist for the paralyzed, amputee, and spastic patient
An exoskeleton system is being developed to aid in the mobilization of walking-impaired patients. New approaches to personal robotic assists have solved many classic problems with weight, power, endurance, and cost. A versatile platform of development allows for many variations and applications including mobility assist for the paralyzed, amputee, and spastic patient (MAPAS). A variety of strap on supports and braces are used, depending on the magnitude of the forces required. The MAPAS system utilizes compressed gas to power the main force producing elements, or muscles. Pneumatic muscles are used to provide controllable joint torque with moderate levels of pressure. These muscles are mounted to the brace, providing pull-only torque to joints. The MAPAS control system features interpreted joint mapping. The function of each leg joint is primarily directed through the output of a finger joint sensor. A six to eight sensor hand goniometer provides the system with user input. Higher control features actuated by on-board intelligent devices enable finger joint inputs to be enhanced providing balance, gait anticipation, fault-recovery, and spasm signature compensation. Ambient pressure levels of on-board reservoirs can be changed to suit changing environments ranging from heavily loaded amputee walking up stairs to the slight correction of a mild spasm. The entire system is portable with on-board batteries, compressed air reservoirs, intelligent algorithms, and goniometric sensors.
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