Electronic design and validation of Powered Knee Orthosis system embedded with wearable sensors

The development of new architectures for orthotic devices has been playing a major role in the rehabilitation of gait disorders. This paper proposes a new electronic and control architecture for a powered orthosis, particularly, a knee orthosis. The system was designed to be modular, being composed of the orthosis and biomedical wearable sensors, such as inertial measurement units, force sensitive resistors, and electromyography. For each component, robust hardware and software interfaces were designed and validated, plus two tracking control strategies, namely, position control, that imposes a trajectory based on the angle measured in the joint, and torque control to act mostly as a passive component, using the measured user-orthosis interaction torque. The whole system was validated with healthy subjects walking in level-ground on a treadmill at different speeds. The main results show that the system is functional. The interfaces created as well as the assistive control techniques were successfully validated. Moreover, the system allows an efficient inclusion of other devices, given the modularity achieved in its design.

[1]  Nikolaos G. Tsagarakis,et al.  Tele-Impedance based stiffness and motion augmentation for a knee exoskeleton device , 2013, 2013 IEEE International Conference on Robotics and Automation.

[2]  Jerry E. Pratt,et al.  The RoboKnee: an exoskeleton for enhancing strength and endurance during walking , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[3]  Hugh Herr,et al.  Exoskeletons and orthoses: classification, design challenges and future directions , 2009, Journal of NeuroEngineering and Rehabilitation.

[4]  Chang-Ho Yu,et al.  Analysis of the assistance characteristics for the knee extension motion of knee orthosis using muscular stiffness force feedback , 2013 .

[5]  J. Kofman,et al.  Design and Evaluation of an Orthotic Knee-Extension Assist , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  Günter Hommel,et al.  A Human--Exoskeleton Interface Utilizing Electromyography , 2008, IEEE Transactions on Robotics.

[7]  Andrej Gams,et al.  Effects of Robotic Knee Exoskeleton on Human Energy Expenditure , 2013, IEEE Transactions on Biomedical Engineering.

[8]  Aaron M. Dollar,et al.  Design of a quasi-passive knee exoskeleton to assist running , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  M. A. Peshkin,et al.  Inertia Compensation Control of a One-Degree-of-Freedom Exoskeleton for Lower-Limb Assistance: Initial Experiments , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  S. Hutchins,et al.  The effect of a knee ankle foot orthosis incorporating an active knee mechanism on gait of a person with poliomyelitis , 2013, Prosthetics and orthotics international.

[11]  Wei-Hsin Liao,et al.  HIP-KNEE control for gait assistance with Powered Knee Orthosis , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[12]  Slavka Viteckova,et al.  Wearable lower limb robotics: A review , 2013 .

[13]  Tingfang Yan,et al.  Review of assistive strategies in powered lower-limb orthoses and exoskeletons , 2015, Robotics Auton. Syst..

[14]  J. Moreno,et al.  The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study , 2015, Journal of NeuroEngineering and Rehabilitation.

[15]  Cristina P. Santos,et al.  ADAPTIVE REAL-TIME TOOL FOR HUMAN GAIT EVENT DETECTION USING A WEARABLE GYROSCOPE , 2017 .