Literature DB >> 22150969

Robotic orthosis lokomat: a rehabilitation and research tool.

Sašo Jezernik1, Gery Colombo, Thierry Keller, Hansruedi Frueh, Manfred Morari.   

Abstract

The aim of this article is to introduce the robotic orthosis Lokomat, developed to automate treadmill training rehabilitation of locomotion for spinal cord injured and stroke patients, to the Functional Electrical Stimulation (FES) and Neuromodulation research communities, and to report on our newly conducted research. We first illustrate the primary use of Lokomat in rehabilitation and focus on control aspects and algorithms associated with robotic rehabilitation of locomotion. Then we describe two applications where the Lokomat was used as a research tool. The first application is closed-loop control of the FES-induced shank movement and the second is the development of a neural network model of the spinal locomotor centers. This model was used to derive a neural locomotion controller for the Lokomat.

Entities:  

Year:  2003        PMID: 22150969     DOI: 10.1046/j.1525-1403.2003.03017.x

Source DB:  PubMed          Journal:  Neuromodulation        ISSN: 1094-7159


  57 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.  Estimating the Mechanical Behavior of the Knee Joint During Crouch Gait: Implications for Real-Time Motor Control of Robotic Knee Orthoses.

Authors:  Zachary F Lerner; Diane L Damiano; Thomas C Bulea
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-04-14       Impact factor: 3.802

3.  Applications of Brain-Machine Interface Systems in Stroke Recovery and Rehabilitation.

Authors:  Anusha Venkatakrishnan; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-06-01

4.  A low cost real-time motion tracking approach using webcam technology.

Authors:  Chandramouli Krishnan; Edward P Washabaugh; Yogesh Seetharaman
Journal:  J Biomech       Date:  2014-12-10       Impact factor: 2.712

5.  A practical strategy for sEMG-based knee joint moment estimation during gait and its validation in individuals with cerebral palsy.

Authors:  Suncheol Kwon; Hyung-Soon Park; Christopher J Stanley; Jung Kim; Jonghyun Kim; Diane L Damiano
Journal:  IEEE Trans Biomed Eng       Date:  2012-03-09       Impact factor: 4.538

Review 6.  Technological advances in interventions to enhance poststroke gait.

Authors:  Lynne R Sheffler; John Chae
Journal:  Phys Med Rehabil Clin N Am       Date:  2013-05       Impact factor: 1.784

Review 7.  Robotic training and spinal cord plasticity.

Authors:  V Reggie Edgerton; Roland R Roy
Journal:  Brain Res Bull       Date:  2008-11-14       Impact factor: 4.077

8.  Interactive visuo-motor therapy system for stroke rehabilitation.

Authors:  Kynan Eng; Ewa Siekierka; Pawel Pyk; Edith Chevrier; Yves Hauser; Monica Cameirao; Lisa Holper; Karin Hägni; Lukas Zimmerli; Armin Duff; Corina Schuster; Claudio Bassetti; Paul Verschure; Daniel Kiper
Journal:  Med Biol Eng Comput       Date:  2007-08-09       Impact factor: 2.602

9.  Adaptive Ankle Resistance from a Wearable Robotic Device to Improve Muscle Recruitment in Cerebral Palsy.

Authors:  Benjamin C Conner; Jason Luque; Zachary F Lerner
Journal:  Ann Biomed Eng       Date:  2020-01-16       Impact factor: 3.934

10.  Usefulness of robotic gait training plus neuromodulation in chronic spinal cord injury: a case report.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Antonino Leo; Placido Bramanti
Journal:  J Spinal Cord Med       Date:  2016-03-04       Impact factor: 1.985

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