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arXiv 2109.13201cs.RO
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3-DoF机器人平台用于MS患者反应时和平衡能力的康复与评估

A 3-DoF Robotic Platform for the Rehabilitation and Assessment of Reaction Time and Balance Skills of MS Patients

Ozyegin University(厄兹耶金大学);Istanbul Medipol University(伊斯坦布尔梅迪波尔大学);Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University(伊斯坦布尔梅迪波尔大学健康科学与技术研究所(SABITA))

Tugce Ersoy, Elif Hocaoglu

摘要:

中枢神经系统利用预期(APA)和补偿(CPA)姿势调节来维持平衡。姿势调节包括质心稳定性(CoM)任何可预测的或突然的扰动都可能导致CoM偏离平衡状态,并导致CoM的压力分布不均匀。身体。这种情况经常在MS患者的日常生活中观察到,由于他们的APA和CPA较差,并导致他们跌倒。最大限度地减少神经系统患者跌倒风险的方法是利用基于扰动的康复,因为它在平衡障碍的恢复中是有效的。基于上述研究结果,本文设计了一种新型的3自由度并联机器人,用于治疗MS的平衡障碍,该机器人平台允许踝关节基于拟人自由度的角运动,并设计了具有上下平台的末端执行器,用于评估每只脚的压力分布和身体的CoM,从平台收集的数据用于评估患者的表现,并用于机器人平台的高级控制以调节任务的难度水平。在这项研究中,对机器人进行了运动学和动力学分析,并在仿真环境中进行了验证。通过PID控制器成功地实现了第一台样机的低层控制。通过一系列实验,考虑到末端执行器上的压力分布和脚部物体的CoM评估,评估了每个平台的能力。实验结果表明,这种系统很好地实现了机器人的运动学和动力学分析。通过APA和CPA解决平衡技能培训和评估的需求。

英文摘要:

The central nervous system exploits anticipatory (APAs) and compensatory (CPAs) postural adjustments to maintain the balance.The postural adjustments comprising stability of the center of mass (CoM) and the pressure distribution of the body influence each other if there is a lack of performance in either of them.Any predictable or sudden perturbation may pave the way for the divergence of CoM from equilibrium and inhomogeneous pressure distribution of the body.Such a situation is often observed in the daily lives of MS patients due to their poor APAs and CPAs and induces their falls.The way of minimizing the risk of falls in neurological patients is by utilizing perturbation-based rehabilitation, as it is efficient in the recovery of the balance disorder. In light of the findings, we present the design, implementation, and experimental evaluation of a novel 3 DoF parallel manipulator to treat the balance disorder of MS.The robotic platform allows angular motion of the ankle based on its anthropomorphic freedom.Moreover, the end-effector endowed with upper and lower platforms is designed to evaluate both the pressure distribution of each foot and the CoM of the body, respectively.Data gathered from the platforms are utilized to both evaluate the performance of the patients and used in high-level control of the robotic platform to regulate the difficulty level of tasks. In the study, kinematic and dynamic analyses of the robot are derived and validated in the simulation environment.Low-level control of the first prototype is also successfully implemented via the PID controller.The capacity of each platform is evaluated with a set of experiments considering the assessment of pressure distribution and CoM of the foot-like objects on the end-effector.The experimental results indicate that such a system well-address the need for balance skill training and assessment through the APAs and CPAs.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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