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Preliminary testing of the fully-integrated cognitive controlled walking rehabilitation system

机译:完全集成的认知控制步行康复系统的初步测试

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Several studies have examined whether robotic devices can exceed conventional gait training in terms of long term rehabilitation outcomes. Most of the research reported on promising results and pointed out the advantages of rehabilitation robots over strenuous manual physiotherapy. We present a novel cognitive system for gait training that assessed human behavior with body sensors, electromyography, joint kinematics and utilizes smart algorithms to control the level of joint support in the gait orthosis. The powered orthosis was tested in a single healthy person and several gait cycles were compared with free treadmill walking. The analysis was carried out with an optical measurement system and electromyography. Very similar gait patterns confirmed that the orthosis does not hinder the natural movement of the person. Additionally the functionality of the automated assistance level was tested with a healthy person emulating the bilateral crouch gait on the treadmill. The outcomes suggested that the powered gait orthosis does not hinder natural treadmill base movement and the control sufficiently enables the voluntary contribution of the person. However, additional tests will be carried out in neuromuscularly impaired persons before the system will be ready for a proof of concept study.
机译:多项研究已经检查了机器人设备是否可以超越长期步态训练的长期康复成果。大多数研究报告了令人鼓舞的结果,并指出了康复机器人相对于费力的手动理疗的优势。我们提出了一种用于步态训练的新型认知系统,该系统通过人体传感器,肌电图,关节运动学评估了人类的行为,并利用智能算法来控制步态矫形器中关节支撑的水平。动力矫形器在一个健康的人中进行了测试,并将几个步态周期与自由跑步机进行了比较。使用光学测量系统和肌电图进行分析。非常相似的步态模式证实矫形器不会妨碍人的自然运动。此外,还用一个健康的人在跑步机上模拟了双侧蹲伏步态来测试自动辅助级别的功能。结果表明,动力步态矫形器不妨碍自然的跑步机底座运动,并且控制足以使人自愿做出贡献。但是,在系统准备进行概念验证研究之前,将对神经肌肉受损的人进行其他测试。

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