Literature DB >> 28211822

Robot-assisted end-effector-based gait training in chronic stroke patients: A multicentric uncontrolled observational retrospective clinical study.

Stefano Mazzoleni1, Antonella Focacci2, Marco Franceschini3,4, Andreas Waldner5, Chiara Spagnuolo6, Elena Battini1, Donatella Bonaiuti7.   

Abstract

BACKGROUND: Until now studies report inconclusive results as regards the effectiveness of exclusive use of robot-assisted training and clinical indications in stroke patients.
OBJECTIVE: To evaluate if the only robot-assisted end-effector-based gait training can be feasible in chronic stroke subjects in terms of gait recovery.
METHODS: Five rehabilitation centers participated and one hundred chronic post-stroke patients were recruited. Patients underwent a robot-assisted end-effector-based gait training as only rehabilitation treatment.6 Minute Walk Test, 10 Meter Walk Test, Timed Up and Go test, Modified Ashworth Scale, Motricity Index, Functional Ambulation Classification (FAC) and Walking Handicap Scale were used as outcome clinical measure. Patients were divided into two groups: those assessed as FAC <3 (Group 1) and as FAC ≥ 3 (Group 2).
RESULTS: Statistically significant changes were observed in each clinical outcome measure. Significant changes were observed in Group 1 and in Group 2. Significant percentages of patients achieved Minimally Clinically Important Difference in 6 Minute Walk Test in Group 2 and Timed Up and Go test in Group 1.
CONCLUSIONS: Chronic stroke patients exposed to only robot-assisted end-effector-based gait training showed significant improvements in global motor performances, gait endurance, balance and coordination, lower limbs strength and even spasticity.

Entities:  

Keywords:  Rehabilitation; gait; robotics; stroke

Mesh:

Year:  2017        PMID: 28211822     DOI: 10.3233/NRE-161435

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  3 in total

1.  Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Authors:  Hoo Young Lee; Jung Hyun Park; Tae-Woo Kim
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

2.  Robot-Assisted Stair Climbing Training on Postural Control and Sensory Integration Processes in Chronic Post-stroke Patients: A Randomized Controlled Clinical Trial.

Authors:  Marialuisa Gandolfi; Nicola Valè; Eleonora Dimitrova; Maria Elisabetta Zanolin; Nicola Mattiuz; Elisa Battistuzzi; Marcello Beccari; Christian Geroin; Alessandro Picelli; Andreas Waldner; Nicola Smania
Journal:  Front Neurosci       Date:  2019-10-24       Impact factor: 4.677

3.  Robotic Exoskeleton Gait Training in Stroke: An Electromyography-Based Evaluation.

Authors:  Valeria Longatelli; Alessandra Pedrocchi; Eleonora Guanziroli; Franco Molteni; Marta Gandolla
Journal:  Front Neurorobot       Date:  2021-11-26       Impact factor: 2.650

  3 in total

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