Literature DB >> 14606269

[Development of a robotic walking simulator for gait rehabilitation].

H Schmidt1, D Sorowka, S Hesse, R Bernhardt.   

Abstract

Restoration of gait is a major concern of rehabilitation after stroke or spinal cord injury. Modern concepts of motor learning favour a task-specific repetitive approach, i.e. "whoever wants to learn to walk again must walk." However, the physical demands this places on the therapist, is a limiting factor in the clinical routine setting. This article describes a robotic walking simulator for gait training that enables wheelchair-bound subjects to freely carry out repetitive practicing of an individually adapted gait pattern under simulation of the manual guidance of an experienced therapist. The technical principle applied makes use of programmable footplates with permanent foot/machine contact in combination with compliance control. The solution chosen comprises a planar parallel-serial hybrid kinematic system with three degrees of freedom that moves the feet in the sagittal plane. Gait analysis while floor walking and stair climbing, clinical practicability and safety aspects were the basis for the design. A variable compliance control enables man-machine interaction, ranging from purely position controlled movement to full compliance during swing phase above a virtual ground profile. In full compliance mode the robotic walking simulator behaves like a haptic device. The concept presented offers new prospects for individualized gait rehabilitation.

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Year:  2003        PMID: 14606269     DOI: 10.1515/bmte.2003.48.10.281

Source DB:  PubMed          Journal:  Biomed Tech (Berl)        ISSN: 0013-5585            Impact factor:   1.411


  2 in total

1.  Innovative gait robot for the repetitive practice of floor walking and stair climbing up and down in stroke patients.

Authors:  Stefan Hesse; Andreas Waldner; Christopher Tomelleri
Journal:  J Neuroeng Rehabil       Date:  2010-06-28       Impact factor: 4.262

Review 2.  Clinical application of a modular ankle robot for stroke rehabilitation.

Authors:  Larry W Forrester; Anindo Roy; Ronald N Goodman; Jeremy Rietschel; Joseph E Barton; Hermano Igo Krebs; Richard F Macko
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

  2 in total

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