Literature DB >> 24162795

Effects of gait training using a robotic constraint (Lokomat®) on gait kinematics and kinetics in chronic stroke patients.

Céline Bonnyaud1, Didier Pradon, Julien Boudarham, Johanna Robertson, Nicolas Vuillerme, Nicolas Roche.   

Abstract

OBJECTIVE: To evaluate the effects of a 20-min gait training session using the Lokomat® combined with a negative kinematic constraint on the non-paretic limb and a positive kinematic constraint on the paretic limb, on peak knee flexion and other biomechanical parameters in chronic hemiparetic subjects.
DESIGN: Preliminary study, before-after design.
SUBJECTS: Fifteen hemiparetic subjects.
METHODS: Subjects were evaluated using 3-dimensional gait analysis before, immediately after the end of the training, and after a 20-min rest period. The positive constraint increased the range of motion of the paretic limb (hip and knee), while the negative constraint reduced the range of motion of the non-paretic limb (hip and knee).
RESULTS: Peak knee flexion and other, kinematic, kinetic and spatiotemporal, parameters were significantly improved following the training session. These positive effects occurred predominantly in the paretic limb. Moreover, there was no worsening of biomechanical parameters of the non-paretic limb despite the use of negative constraint on this limb. These effects persisted for at least 20 min following the end of the gait training session.
CONCLUSION: This type of training may be effective to improve gait in hemiparetic patients. A larger investigation of the training programme is justified.

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Mesh:

Year:  2014        PMID: 24162795     DOI: 10.2340/16501977-1248

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  4 in total

Review 1.  The effect of 'device-in-charge' versus 'patient-in-charge' support during robotic gait training on walking ability and balance in chronic stroke survivors: A systematic review.

Authors:  Juliet Am Haarman; Jasper Reenalda; Jaap H Buurke; Herman van der Kooij; Johan S Rietman
Journal:  J Rehabil Assist Technol Eng       Date:  2016-11-29

2.  Stage 2: Who Are the Best Candidates for Robotic Gait Training Rehabilitation in Hemiparetic Stroke?

Authors:  Wonjun Oh; Chanhee Park; Seungjun Oh; Sung Joshua H You
Journal:  J Clin Med       Date:  2021-12-06       Impact factor: 4.241

Review 3.  Impact of Constraint-Induced Movement Therapy (CIMT) on Functional Ambulation in Stroke Patients-A Systematic Review and Meta-Analysis.

Authors:  Ravi Shankar Reddy; Kumar Gular; Snehil Dixit; Praveen Kumar Kandakurti; Jaya Shanker Tedla; Ajay Prashad Gautam; Devika Rani Sangadala
Journal:  Int J Environ Res Public Health       Date:  2022-10-06       Impact factor: 4.614

4.  Effects of a wearable exoskeleton stride management assist system (SMA®) on spatiotemporal gait characteristics in individuals after stroke: a randomized controlled trial.

Authors:  Carolyn Buesing; Gabriela Fisch; Megan O'Donnell; Ida Shahidi; Lauren Thomas; Chaithanya K Mummidisetty; Kenton J Williams; Hideaki Takahashi; William Zev Rymer; Arun Jayaraman
Journal:  J Neuroeng Rehabil       Date:  2015-08-20       Impact factor: 4.262

  4 in total

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