首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Development of an MR-compatible hand exoskeleton that is capable of providing interactive robotic rehabilitation during fMRI imaging
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Development of an MR-compatible hand exoskeleton that is capable of providing interactive robotic rehabilitation during fMRI imaging

机译:开发MR兼容的手外骨骼,能够在FMRI成像期间提供互动机器人康复

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Following advances in robotic rehabilitation, there have been many efforts to investigate the recovery process and effectiveness of robotic rehabilitation procedures through monitoring the activation status of the brain. This work presents the development of a two degree-of-freedom (DoF) magnetic resonance (MR)-compatible hand device that can perform robotic rehabilitation procedures inside an fMRI scanner. The device is capable of providing real-time monitoring of the joint angle, angular velocity, and joint force produced by the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joints of four fingers. For force measurement, a custom reflective optical force sensor was developed and characterized in terms of accuracy error, hysteresis, and repeatability in the MR environment. The proposed device consists of two non-magnetic ultrasonic motors to provide assistive and resistive forces to the MCP and PIP joints. With actuation and sensing capabilities, both non-voluntary-passive movements and active-voluntary movements can be implemented. The MR compatibility of the device was verified via the analysis of the signal-to-noise ratio (SNR) of MR images of phantoms. SNR drops of 0.25, 2.94, and 11.82% were observed when the device was present but not activated, when only the custom force sensor was activated, and when both the custom force sensor and actuators were activated, respectively.
机译:在机器人康复的进步之后,通过监测大脑的激活状态,已经努力研究机器人康复程序的恢复过程和有效性。这项工作提出了一种自由度(DOF)磁共振(MR)的开发 - 兼容的手工装置,可以在FMRI扫描仪内执行机器人康复程序。该装置能够提供由四手指的MetAcarpophalangeal(MCP)和近端间骨阵(PIP)接头产生的接头角度,角速度和接合力的实时监测。对于力测量,在精度误差,滞后和MR环境中的可重复性方面开发和特征。所提出的装置由两个非磁性超声波电动机组成,为MCP和PIP接头提供辅助和电阻力。通过致动和传感能力,可以实施非自愿被动运动和主动自愿运动。通过分析模钓MR图像的信噪比(SNR)来验证设备的MR兼容性。当当存在装置但未被激活时,观察到0.25,2.94和11.82%的SNR滴,当仅激活定制力传感器时,分别激活定制力传感器和致动器。

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