Ankle training robot force visualization for eccentric contraction training

This paper describes the development of an ankle training robot force visualization for eccentric contraction training. In the mechanism of walking, the eccentric contraction of the tibialis anterior muscle plays an important part in the phase between heel-strike and foot-flat as a shock absorber. However, the eccentric contraction has not been reported in previous research on ankle rehabilitation robots, despite its importance. In addition, traditional training methods both unaided and with tubing have difficulty making the training load constant. Hence, this study proposes a system that uses visual feedback of the forces to help the patient keep the training load constant. We present an estimation method for the lower extremity posture and torques. We also experimentally subject compared output force with and without the use of visual feedback.The results show that the system is able to make the training load constant. Furthermore, frequency analysis using the fast Fourier transfer (FFT) of the force information measured during training and passive motion shows that the robot is capable of detecting unwanted vibrations.

[1]  Jungwon Yoon,et al.  Reconfigurable ankle rehabilitation robot for various exercises , 2006 .

[2]  Shahid Hussain,et al.  An Adaptive Wearable Parallel Robot for the Treatment of Ankle Injuries , 2014, IEEE/ASME Transactions on Mechatronics.

[3]  Stan Lindstedt,et al.  The positive effects of negative work: increased muscle strength and decreased fall risk in a frail elderly population. , 2003, The journals of gerontology. Series A, Biological sciences and medical sciences.

[4]  Hermano Igo Krebs,et al.  Robot-Aided Neurorehabilitation: A Novel Robot for Ankle Rehabilitation , 2009, IEEE Transactions on Robotics.

[5]  Judith E. Deutsch,et al.  A Stewart Platform-Based System for Ankle Telerehabilitation , 2001, Auton. Robots.

[6]  Jose Luis Burguera.  Sarcopenia and Exercise: Mechanisms, Interactions, and Application of Research Findings , 2004 .

[7]  Xiaojun Zhang,et al.  Design and Kinematics Analysis of Parallel Robots for Ankle Rehabilitation , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Alfred D. Grant.  Gait Analysis: Normal and Pathological Function , 2010 .

[9]  Grigore C. Burdea,et al.  The “Rutgers Ankle” Orthopedic Rehabilitation Interface , 1999, Dynamic Systems and Control.

[10]  Michiyoshi Ae,et al.  ESTIMATION OF INERTIA PROPERTIES OF THE BODY SEGMENTS IN JAPANESE ATHLETES , 1992 .

[11]  E. Roth,et al.  Development of an intelligent stretching device for ankle joints with contracture/spasticity , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Yun Ho Tsoi,et al.  Impedance control of ankle rehabilitation robot , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[13]  Jian S. Dai,et al.  Sprained Ankle Physiotherapy Based Mechanism Synthesis and Stiffness Analysis of a Robotic Rehabilitation Device , 2004, Auton. Robots.

[14]  Nikolaos G. Tsagarakis,et al.  A high performance 2-dof over-actuated parallel mechanism for ankle rehabilitation , 2009, 2009 IEEE International Conference on Robotics and Automation.