Literature DB >> 17894273

Assessment of motion of a swing leg and gait rehabilitation with a gravity balancing exoskeleton.

Sunil K Agrawal1, Sai K Banala, Abbas Fattah, Vivek Sangwan, Vijaya Krishnamoorthy, John P Scholz, Wei-Li Hsu.   

Abstract

The gravity balancing exoskeleton, designed at University of Delaware, Newark, consists of rigid links, joints and springs, which are adjustable to the geometry and inertia of the leg of a human subject wearing it. This passive exoskeleton does not use any motors but is designed to unload the human leg joints from the gravity load over its range-of-motion. The underlying principle of gravity balancing is to make the potential energy of the combined leg-machine system invariant with configuration of the leg. Additionally, parameters of the exoskeleton can be changed to achieve a prescribed level of gravity assistance, from 0% to 100%. The goal of the results reported in this paper is to provide preliminary quantitative assessment of the changes in kinematics and kinetics of the walking gait when a human subject wears such an exoskeleton. The data on kinematics and kinetics were collected on four healthy and three stroke patients who wore this exoskeleton. These data were computed from the joint encoders and interface torque sensors mounted on the exoskeleton. This exoskeleton was also recently used for a six-week training of a chronic stroke patient, where the gravity assistance was progressively reduced from 100% to 0%. The results show a significant improvement in gait of the stroke patient in terms of range-of-motion of the hip and knee, weight bearing on the hemiparetic leg, and speed of walking. Currently, training studies are underway to assess the long-term effects of such a device on gait rehabilitation of hemiparetic stroke patients.

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Year:  2007        PMID: 17894273     DOI: 10.1109/TNSRE.2007.903930

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  16 in total

Review 1.  Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now?

Authors:  Rocco Salvatore Calabrò; Alberto Cacciola; Francesco Bertè; Alfredo Manuli; Antonino Leo; Alessia Bramanti; Antonino Naro; Demetrio Milardi; Placido Bramanti
Journal:  Neurol Sci       Date:  2016-01-18       Impact factor: 3.307

2.  Orthotic Body-Weight Support Through Underactuated Potential Energy Shaping with Contact Constraints.

Authors:  Ge Lv; Robert D Gregg
Journal:  Proc IEEE Conf Decis Control       Date:  2015-12

3.  Underactuated Potential Energy Shaping with Contact Constraints: Application to a Powered Knee-Ankle Orthosis.

Authors:  Ge Lv; Robert D Gregg
Journal:  IEEE Trans Control Syst Technol       Date:  2017-01-17       Impact factor: 5.485

4.  Medial gastrocnemius myoelectric control of a robotic ankle exoskeleton.

Authors:  Catherine R Kinnaird; Daniel P Ferris
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-02       Impact factor: 3.802

5.  Differences in gait parameters between healthy subjects and persons with moderate and severe knee osteoarthritis: a result of altered walking speed?

Authors:  Joseph A Zeni; Jill S Higginson
Journal:  Clin Biomech (Bristol, Avon)       Date:  2009-03-13       Impact factor: 2.063

6.  Videoradiographic analysis of the range of motion in unilateral experimental knee joint arthritis in rats.

Authors:  Michael K Boettger; Johannes Leuchtweis; Hans-Georg Schaible; Manuela Schmidt
Journal:  Arthritis Res Ther       Date:  2011-05-27       Impact factor: 5.156

7.  A neuromechanics-based powered ankle exoskeleton to assist walking post-stroke: a feasibility study.

Authors:  Kota Z Takahashi; Michael D Lewek; Gregory S Sawicki
Journal:  J Neuroeng Rehabil       Date:  2015-02-25       Impact factor: 4.262

8.  Novel swing-assist un-motorized exoskeletons for gait training.

Authors:  Kalyan K Mankala; Sai K Banala; Sunil K Agrawal
Journal:  J Neuroeng Rehabil       Date:  2009-07-03       Impact factor: 4.262

9.  A fuzzy controller for lower limb exoskeletons during sit-to-stand and stand-to-sit movement using wearable sensors.

Authors:  Sharif Muhammad Taslim Reza; Norhafizan Ahmad; Imtiaz Ahmed Choudhury; Raja Ariffin Raja Ghazilla
Journal:  Sensors (Basel)       Date:  2014-03-04       Impact factor: 3.576

Review 10.  A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation.

Authors:  Hossein Mousavi Hondori; Maryam Khademi
Journal:  J Med Eng       Date:  2014-12-10
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