Literature DB >> 28118698

Wearable robotic exoskeleton for overground gait training in sub-acute and chronic hemiparetic stroke patients: preliminary results.

Franco Molteni1, Giulio Gasperini1, Marina Gaffuri1, Maria Colombo1, Chiara Giovanzana1, Chiara Lorenzon1, Nico Farina1, Giovanni Cannaviello2, Stefano Scarano3, Davide Proserpio1, Davide Liberali1, Eleonora Guanziroli4.   

Abstract

BACKGROUND: Recovery of therapeutic or functional ambulatory capacity in post-stroke patients is a primary goal of rehabilitation. Wearable powered exoskeletons allow patients with gait dysfunctions to perform over-ground gait training, even immediately after the acute event. AIM: To investigate the feasibility and the clinical effects of an over-ground walking training with a wearable powered exoskeleton in sub-acute and chronic stroke patients.
DESIGN: Prospective, pilot pre-post, open label, non-randomized experimental study.
SETTING: A single neurological rehabilitation center for inpatients and outpatients. POPULATION: Twenty-three post-stroke patients were enrolled: 12 sub-acute (mean age: 43.8±13.3 years, 5 male and 7 female, 7 right hemiparesis and 5 left hemiparesis) and 11 chronic (mean age: 55.5±15.9 years, 7 male and 4 female, 4 right hemiparesis and 7 left hemiparesis) patients.
METHODS: Patients underwent 12 sessions (60 min/session, 3 times/week) of walking rehabilitation training using Ekso™, a wearable bionic suit that enables individuals with lower extremity disabilities and minimal forearm strength to stand up, sit down and walk over a flat hard surface with a full weight-bearing reciprocal gait. Clinical evaluations were performed at the beginning of the training period (t0), after 6 sessions (t1) and after 12 sessions (t2) and were based on the Ashworth scale, Motricity Index, Trunk Control Test, Functional Ambulation Scale, 10-Meter Walking Test, 6-Minute Walking Test, and Walking Handicap Scale. Wilcoxon's test (P<0.05) was used to detect significant changes.
RESULTS: Statistically significant improvements were observed at the three assessment periods for both groups in Motricity Index, Functional Ambulation Scale, 10-meter walking test, and 6-minute walking test. Sub-acute patients achieved statistically significant improvement in Trunk Control Test and Walking Handicap Scale at t0-t2. Sub-acute and chronic patient did not achieve significant improvement in Ashworth scale at t0-t2.
CONCLUSIONS: Twelve sessions of over-ground gait training using a powered wearable robotic exoskeleton improved ambulatory functions in sub-acute and chronic post-stroke patients. Large, randomized multicenter studies are needed to confirm these preliminary data. CLINICAL REHABILITATION IMPACT: To plan a completely new individual tailored robotic rehabilitation strategy after stroke, including task-oriented over-ground gait training.

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Year:  2017        PMID: 28118698     DOI: 10.23736/S1973-9087.17.04591-9

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  17 in total

1.  Quantitative assessment of training effects using EksoGT® exoskeleton in Parkinson's disease patients: A randomized single blind clinical trial.

Authors:  M Romanato; F Spolaor; C Beretta; F Fichera; A Bertoldo; D Volpe; Z Sawacha
Journal:  Contemp Clin Trials Commun       Date:  2022-05-25

Review 2.  Efficacy of Overground Robotic Gait Training on Balance in Stroke Survivors: A Systematic Review and Meta-Analysis.

Authors:  Matteo Lorusso; Marco Tramontano; Matteo Casciello; Andrea Pece; Nicola Smania; Giovanni Morone; Federica Tamburella
Journal:  Brain Sci       Date:  2022-05-31

3.  Effect of robotic exoskeleton gait training during acute stroke on functional ambulation.

Authors:  Kiran K Karunakaran; Sharon Gute; Gregory R Ames; Kathleen Chervin; Christina M Dandola; Karen J Nolan
Journal:  NeuroRehabilitation       Date:  2021       Impact factor: 2.138

4.  Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session.

Authors:  Roberto Di Marco; Maria Rubega; Olive Lennon; Emanuela Formaggio; Ngadhnjim Sutaj; Giacomo Dazzi; Chiara Venturin; Ilenia Bonini; Rupert Ortner; Humberto Antonio Cerrel Bazo; Luca Tonin; Stefano Tortora; Stefano Masiero; Alessandra Del Felice
Journal:  Methods Protoc       Date:  2021-07-13

Review 5.  Robot-assisted gait training for stroke patients: current state of the art and perspectives of robotics.

Authors:  Giovanni Morone; Stefano Paolucci; Andrea Cherubini; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Marco Iosa
Journal:  Neuropsychiatr Dis Treat       Date:  2017-05-15       Impact factor: 2.570

6.  A Pathological Condition Affects Motor Modules in a Bipedal Locomotion Model.

Authors:  Daisuke Ichimura; Tadashi Yamazaki
Journal:  Front Neurorobot       Date:  2019-09-20       Impact factor: 2.650

7.  Effects of Exoskeleton Gait Training on Balance, Load Distribution, and Functional Status in Stroke: A Randomized Controlled Trial.

Authors:  Anna Rojek; Anna Mika; Łukasz Oleksy; Artur Stolarczyk; Renata Kielnar
Journal:  Front Neurol       Date:  2020-01-15       Impact factor: 4.003

8.  Automatic Setting Procedure for Exoskeleton-Assisted Overground Gait: Proof of Concept on Stroke Population.

Authors:  Marta Gandolla; Eleonora Guanziroli; Andrea D'Angelo; Giovanni Cannaviello; Franco Molteni; Alessandra Pedrocchi
Journal:  Front Neurorobot       Date:  2018-03-19       Impact factor: 2.650

9.  Shaping neuroplasticity by using powered exoskeletons in patients with stroke: a randomized clinical trial.

Authors:  Rocco Salvatore Calabrò; Antonino Naro; Margherita Russo; Placido Bramanti; Luigi Carioti; Tina Balletta; Antonio Buda; Alfredo Manuli; Serena Filoni; Alessia Bramanti
Journal:  J Neuroeng Rehabil       Date:  2018-04-25       Impact factor: 4.262

10.  Kinetic Gait Changes after Robotic Exoskeleton Training in Adolescents and Young Adults with Acquired Brain Injury.

Authors:  Kiran K Karunakaran; Naphtaly Ehrenberg; JenFu Cheng; Katherine Bentley; Karen J Nolan
Journal:  Appl Bionics Biomech       Date:  2020-10-27       Impact factor: 1.781

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