Initial System Evaluation of an Overground Rehabilitation Gait Training Robot (NaTUre-gaits)

For decades, robotic devices have been suggested to enhance motor recovery by replicating clinical manual-assisted training. This paper presents an overground gait rehabilitation robot, which consists of a pair of robotic orthoses, the connected pelvic arm in parallel and a mounted mobile platform. The overground walking incorporates pelvic control together with active joints on the lower limb. As a preliminary evaluation, system trials have been conducted on healthy subjects and a spinal cord injury (SCI) subject, respectively. Electromyography signals were recorded from muscles of the lower limb for each subject. Three experiments were carried out: (i) health volunteers walking at self-preferred walking speed, (ii) a SCI subject walking with the help of three helpers and (iii) the same SCI subject walking with the assistance provided by the gait device. In the experiment, the muscle activation of overground walking was compared between the manual-assisted and robotic-assisted methods. The initial results show that the performance of the device can provide impact-less overground walking and it is comparable to the performance obtained by manual assistance in gait rehabilitation training.

[1]  J. Duysens,et al.  Gait recovery is not associated with changes in the temporal patterning of muscle activity during treadmill walking in patients with post-stroke hemiparesis , 2006, Clinical Neurophysiology.

[2]  A L Hof,et al.  Detection of non-standard EMG profiles in walking. , 2005, Gait & posture.

[3]  Sunil Kumar Agrawal,et al.  A novel passive pelvic device for assistance during locomotion , 2010, 2010 IEEE International Conference on Robotics and Automation.

[4]  R. Müller,et al.  Modulation of leg muscle activity and gait kinematics by walking speed and bodyweight unloading. , 2006, Gait & posture.

[5]  H Barbeau,et al.  A treadmill apparatus and harness support for evaluation and rehabilitation of gait. , 1995, Archives of physical medicine and rehabilitation.

[6]  K. H. Low,et al.  Pelvic control and over-ground walking methodology for impaired gait recovery , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[7]  Jorunn L Helbostad,et al.  Estimation of gait cycle characteristics by trunk accelerometry. , 2004, Journal of biomechanics.

[8]  A. Hof,et al.  Speed dependence of averaged EMG profiles in walking. , 2002, Gait & posture.

[9]  Yoshiyuki Sankai,et al.  Control method of robot suit HAL working as operator's muscle using biological and dynamical information , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  L Arendt-Nielsen,et al.  Electromyographic patterns and knee joint kinematics during walking at various speeds. , 1991, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[11]  H. van der Kooij,et al.  Design and Evaluation of the LOPES Exoskeleton Robot for Interactive Gait Rehabilitation , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[12]  J. Duysens,et al.  Speed related changes in muscle activity from normal to very slow walking speeds. , 2004, Gait & posture.

[13]  J B King,et al.  Gait Analysis. An Introduction , 1992 .

[14]  Ping Wang,et al.  Rehabilitation control strategies for a gait robot via EMG evaluation , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[15]  Adela Tow,et al.  Gait planning for effective rehabilitation - From gait study to application in clinical rehabilitation , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[16]  Ping Wang,et al.  Qualitative evaluations of gait rehabilitation via EMG muscle activation pattern: Repetition, symmetry, and smoothness , 2009, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[17]  Stefan Hesse,et al.  Treadmill Training with Partial Body Weight Support: Influence of Body Weight Release on the Gait of Hemiparetic Patients , 1997 .

[18]  J.E. Colgate,et al.  KineAssist: a robotic overground gait and balance training device , 2005, 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005..

[19]  Roger Weber,et al.  Tools for understanding and optimizing robotic gait training. , 2006, Journal of rehabilitation research and development.

[20]  Carlo Frigo,et al.  Multichannel SEMG in clinical gait analysis: a review and state-of-the-art. , 2009, Clinical biomechanics.

[21]  Edward D Lemaire,et al.  Electromyographic and kinematic nondisabled gait differences at extremely slow overground and treadmill walking speeds. , 2005, Journal of rehabilitation research and development.

[22]  G. Zilvold,et al.  Consistency of surface EMG patterns obtained during gait from three laboratories using standardised measurement technique , 1997 .

[23]  J. Hidler,et al.  Alterations in muscle activation patterns during robotic-assisted walking. , 2005, Clinical biomechanics.

[24]  Mindy F Levin,et al.  Review: Toward a Better Understanding of Coordination in Healthy and Poststroke Gait , 2010, Neurorehabilitation and neural repair.

[25]  May Q. Liu,et al.  Muscle contributions to support and progression over a range of walking speeds. , 2008, Journal of biomechanics.

[26]  K. H. Low,et al.  Locomotive Control of a Wearable Lower Exoskeleton for Walking Enhancement , 2006 .

[27]  R. Riener,et al.  A Novel Mechatronic Body Weight Support System , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[28]  Aaron M. Dollar,et al.  Lower Extremity Exoskeletons and Active Orthoses: Challenges and State-of-the-Art , 2008, IEEE Transactions on Robotics.