Literature DB >> 30269804

Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

Franco Molteni1, Giulio Gasperini2, Giovanni Cannaviello3, Eleonora Guanziroli4.   

Abstract

Recovery of upper and lower limbs function is essential to reach independence in daily activities in patients with upper motor neuron syndrome (UMNS). Rehabilitation can provide a guide for motor recovery influencing the neurobiology of neuronal plasticity providing controlled, repetitive, and variable patterns. Increasing therapy dosage, intensity, number of repetition, execution of task-oriented exercises, and combining top-down and bottom-up approaches can promote plasticity and functional recovery. Robotic exoskeletons for upper and lower limbs, based on the principle of motor learning, have been introduced in neurorehabilitation. In this narrative review, we provide an overview of literature published on exoskeleton devices for upper and lower limb rehabilitation in patients with UMNS; we summarized the available current research evidence and outlined the new challenges that neurorehabilitation and bioengineering will have to face in the upcoming years. Robotic treatment should be considered a rehabilitation tool useful to generate a more complex, controlled multisensory stimulation of the patient and useful to modify the plasticity of neural connections through the experience of movement. Efficacy and efficiency of robotic treatment should be defined starting from intensity, complexity, and specificity of the robotic exercise, that are related to human-robot interaction in terms of motion, emotion, motivation, meaning of the task, feedback from the exoskeleton, and fine motion assistance. Duration of a single session, global period of the treatment, and the timing for beginning of robotic treatment are still open questions. There is the need to evaluate and individualize the treatment according to patient's characteristics. Robotic devices for upper and lower limbs open a window to define therapeutic modalities as possible beneficial drug, able to boost biological, neurobiological, and epigenetic changes in central nervous system. We need to implement large and innovative research programs to answer these issues in the near future.
Copyright © 2018 American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30269804     DOI: 10.1016/j.pmrj.2018.06.005

Source DB:  PubMed          Journal:  PM R        ISSN: 1934-1482            Impact factor:   2.298


  31 in total

Review 1.  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

2.  Robot-assisted and traditional intensive rehabilitation therapy in the treatment of post-acute stroke patient: the experience of a standard rehabilitation ward.

Authors:  Mehrnaz Hamedani; Valeria Prada; Paola Tognetti; Valeria Leoni; Angelo Schenone
Journal:  Neurol Sci       Date:  2022-04-02       Impact factor: 3.830

3.  Impact of Intensive Gait Training With and Without Electromechanical Assistance in the Chronic Phase After Stroke-A Multi-Arm Randomized Controlled Trial With a 6 and 12 Months Follow Up.

Authors:  Susanne Palmcrantz; Anneli Wall; Katarina Skough Vreede; Påvel Lindberg; Anna Danielsson; Katharina S Sunnerhagen; Charlotte K Häger; Jörgen Borg
Journal:  Front Neurosci       Date:  2021-04-22       Impact factor: 4.677

4.  Effectiveness of robotic-assisted therapy for upper extremity function in children and adolescents with cerebral palsy: a systematic review protocol.

Authors:  Sasithorn Sung-U; Badur Un Nisa; Kayano Yotsumoto; Rumi Tanemura
Journal:  BMJ Open       Date:  2021-05-11       Impact factor: 2.692

5.  A Systematic Review Establishing the Current State-of-the-Art, the Limitations, and the DESIRED Checklist in Studies of Direct Neural Interfacing With Robotic Gait Devices in Stroke Rehabilitation.

Authors:  Olive Lennon; Michele Tonellato; Alessandra Del Felice; Roberto Di Marco; Caitriona Fingleton; Attila Korik; Eleonora Guanziroli; Franco Molteni; Christoph Guger; Rupert Otner; Damien Coyle
Journal:  Front Neurosci       Date:  2020-06-30       Impact factor: 4.677

6.  The Effect of Robotic Assisted Gait Training With Lokomat® on Balance Control After Stroke: Systematic Review and Meta-Analysis.

Authors:  Federica Baronchelli; Chiara Zucchella; Mariano Serrao; Domenico Intiso; Michelangelo Bartolo
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

7.  Barriers to sEMG Assessment During Overground Robot-Assisted Gait Training in Subacute Stroke Patients.

Authors:  Michela Goffredo; Francesco Infarinato; Sanaz Pournajaf; Paola Romano; Marco Ottaviani; Leonardo Pellicciari; Daniele Galafate; Debora Gabbani; Annalisa Gison; Marco Franceschini
Journal:  Front Neurol       Date:  2020-10-19       Impact factor: 4.003

8.  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

9.  Robotic Exoskeleton Gait Training During Acute Stroke Inpatient Rehabilitation.

Authors:  Karen J Nolan; Kiran K Karunakaran; Kathleen Chervin; Michael R Monfett; Radhika K Bapineedu; Neil N Jasey; Mooyeon Oh-Park
Journal:  Front Neurorobot       Date:  2020-10-30       Impact factor: 2.650

10.  Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task.

Authors:  Sue Peters; Shannon B Lim; Dennis R Louie; Chieh-Ling Yang; Janice J Eng
Journal:  J Neuroeng Rehabil       Date:  2020-08-10       Impact factor: 4.262

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