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Construction of gait adaptation model in human splitbelt treadmill walking

机译:人皮带式跑步机步行步态适应模型的构建

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摘要

There are a huge number of studies that measure kinematics, dynamics, the oxygen uptake and so on in human walking onthe treadmill. Especially in walking on the splitbelt treadmill where the speed of the right and left belt is different, remarkabledifferences in kinematics are seen between normal and cerebellar disease subjects. In order to construct the gait adaptationmodel of such human splitbelt treadmill walking, we proposed a simple control model and made a newly developed 2D bipedrobot walk on the splitbelt treadmill. We combined the conventional limit-cycle based control consisting of joint PD-control,cyclic motion trajectory planning and a stepping reflex with a newly proposed adjustment of P-gain at the hip joint of thestance leg. We showed that the data of robot (normal subject model and cerebellum disease subject model) experimentshad high similarities with the data of normal subjects and cerebellum disease subjects experiments carried out by Reismanet al. (2005) and Morton and Bastian (2006) in ratios and patterns. We also showed that P-gain at the hip joint of the stanceleg was the control parameter of adaptation for symmetric gaits in splitbelt walking and P-gain adjustment corresponded tomuscle stiffness adjustment by the cerebellum. Consequently, we successfully proposed the gait adaptation model in humansplitbelt treadmill walking and confirmed the validity of our hypotheses and the proposed model using the biped robot.
机译:有大量的研究测量人体在跑步机上行走的运动学,动力学,氧气吸收等。尤其是在左右皮带速度不同的分裂式跑步机上行走时,正常人和小脑疾病患者之间在运动学上存在明显差异。为了构建这种人类带式跑步机的步态适应模型,我们提出了一个简单的控制模型,并在带式跑步机上制作了新开发的二维Bipedrobot机器人。我们将常规的基于极限循环的控制(包括关节PD控制,循环运动轨迹规划和步进反射)与新提议的调整小腿髋关节P增益相结合。我们表明,机器人(正常受试者模型和小脑疾病受试者模型)实验的数据与Reismanet等人进行的正常受试者和小脑疾病受试者实验的数据高度相似。 (2005)以及Morton和Bastian(2006)的比率和模式。我们还表明,在站立带的髋关节中,P增益是对对称步态的适应控制参数,P增益调节对应于小脑的肌肉刚度调节。因此,我们成功地提出了人类分裂带式跑步机步行中的步态适应模型,并使用两足动物机器人证实了我们的假设和提出的模型的有效性。

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