Literature DB >> 18586605

Walkaround: mobile balance support for therapy of walking.

Aleksandar Veg1, Dejan B Popović.   

Abstract

We describe here the Walkaround, a new rehabilitation device that allows walking without hand support of individuals with limited ability to control posture. The design of this device was motivated by the recent development of functional electrical therapy of walking in individuals with hemiplegia, who in many cases need postural and body weight assistance while walking. The Walkaround assists humans with a compromised posture, inability to fully support the body weight on one leg, and prevents their falls. These three features are accomplished by an ergonomic lumbar belt being attached to a rigid wheeled frame by a suspensor system. The height of the frame which interfaces the ground by three telescopic bars, the size of the belt, and the pretension of the suspension system, can all be adjusted to complement the size and the needs of the potential user. The amount of body weight support can be adjusted by setting the lengths of telescopic bars and the pretension of the springs in the suspensors. The prototype device was tested on five individuals with hemiplegia. The walking assisted by the Walkaround was significantly faster (Deltav = 0.13 m/s p 0.05) in comparison to walking assisted by a therapist. The symmetry index between paretic and non affected leg was decreased (Delta R(stance) = -7.4% p 0.05, Delta R (swing) =-9.2%, p 0.05, symmetry improved) when walking assisted by the Walkaround. The users and therapists were positive about the performance of the Walkaround. The users felt safer and the therapists were relieved from the physical effort allowing them to concentrate more on assisting - a nearly normal walking pattern.

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Year:  2008        PMID: 18586605     DOI: 10.1109/TNSRE.2008.918424

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


  3 in total

Review 1.  ROAD: domestic assistant and rehabilitation robot.

Authors:  Isela Carrera; Héctor A Moreno; Roque Saltarén; Carlos Pérez; Lisandro Puglisi; Cecilia Garcia
Journal:  Med Biol Eng Comput       Date:  2011-07-26       Impact factor: 2.602

2.  Principal component analysis of gait kinematics data in acute and chronic stroke patients.

Authors:  Ivana Milovanović; Dejan B Popović
Journal:  Comput Math Methods Med       Date:  2012-02-15       Impact factor: 2.238

Review 3.  Review of control strategies for robotic movement training after neurologic injury.

Authors:  Laura Marchal-Crespo; David J Reinkensmeyer
Journal:  J Neuroeng Rehabil       Date:  2009-06-16       Impact factor: 4.262

  3 in total

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