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Master-Slave Control for a Pneumatically Actuated Low Pressure Soft Robotic Glove to Facilitate Bilateral Training for Stroke Patients

机译:气动低压软机器人手套的主从控制,以促进卒中患者的双边训练

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Strokes are one of the leading causes of disability worldwide. Most stroke survivors will have some degree of paralysis immediately after a stroke, which in many could be lost hand motor functions. In order to encourage a faster motor function recovery, many researchers have been working on improving existing rehabilitation techniques and assistive hand exoskeleton designs. However, many of the current assistive hand technologies, especially rigid hand exoskeletons, seem to be ineffective due to limitations in their mechanical designs. This paper focuses on designing a low pressure soft robotic glove to facilitate bilateral hand training. In this kind of therapy, a movement in the healthy hand generates a similar movement in the paretic hand. Researchers found that the activation of both cerebral hemispheres in rehabilitation exercises, improves outcomes significantly. To allow for this to happen, a design of soft actuators that can be quickly fabricated, and be operated on low pressures while achieving high flexion forces is proposed. The mechanical performance of the actuator was analyzed based on its blocked tip force capabilities and its capability in supporting full range of motion of the fingers. Then, a master-slave controller is proposed such that a glove (master) with flex sensors is worn on the healthy hand to generate a similar movement on the soft robotic glove that is worn on the paretic hand. The glove was successful in meeting the design requirements and assisting a person without hand motor dysfunction in performing a pinch, tripod pinch, and full grasp movements.
机译:中风是全球致残的主要原因之一。大多数中风幸存者会在中风后立即出现某种程度的瘫痪,这在许多情况下可能会失去手部运动功能。为了促进更快的运动功能恢复,许多研究人员一直在努力改善现有的康复技术和辅助手外骨骼设计。但是,由于机械设计的局限性,许多当前的辅助手技术,尤其是刚性手外骨骼,似乎无效。本文着重于设计低压软机器人手套,以促进双边手部训练。在这种疗法中,健康手的运动会在仿手中产生类似的运动。研究人员发现,在康复运动中激活两个大脑半球可以显着改善预后。为了做到这一点,提出了一种软致动器的设计,该软致动器可以被快速地制造,并且在实现高挠曲力的同时在低压下操作。基于执行器的受阻尖端力功能和支持手指全部运动范围的功能,对执行器的机械性能进行了分析。然后,提出了一种主从控制器,使得带有弯曲传感器的手套(主)戴在健康的手上,以在戴在仿手上的柔软的机器人手套上产生类似的运动。该手套成功地满足了设计要求,并帮助没有手部功能障碍的人进行了捏,三脚架捏和完全抓握动作。

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