Literature DB >> 23080038

Robotic-assisted gait training and restoration.

Alberto Esquenazi1, Andrew Packel.   

Abstract

The past two decades have seen the introduction of and a strong growth in the availability of rehabilitation interventions that are based on the use of robotics. A major driving factor has been the advancement of technology, with faster, more powerful computers, new computational approaches, as well as increased sophistication of motors and other electro mechanical components. These advancements in technology have not been the only factor propelling these new rehabilitation interventions. During the same period, a strong growth in the understanding of neuroplasticity and motor learning has also been witnessed. Although there is still much to learn, comprehension of how new skills are acquired, or old ones are relearned, is evolving at a fast pace. Much of this improved understanding can be linked to the advancement of central nervous system imaging as well as techniques for studying changes at the cellular or molecular level. In this review, the authors present the notion that an ever-advancing understanding of neuroplasticity and motor learning can provide a theoretical basis for the clinical use of rehabilitation robotics as applied to enhancing mobility. Specifically focusing on locomotor training after injury to the central nervous system, these principles can provide guidance to clinicians on how to structure their interventions to potentially promote or accelerate functional recovery in their patients. Several types of existing robotic devices to assist walking that are currently available for use in the clinic, as well as their advantages and limitations, will be discussed.

Entities:  

Mesh:

Year:  2012        PMID: 23080038     DOI: 10.1097/PHM.0b013e31826bce18

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  10 in total

1.  Foot trajectory approximation using the pendulum model of walking.

Authors:  Juan Fang; Aleksandra Vuckovic; Sujay Galen; Bernard A Conway; Kenneth J Hunt
Journal:  Med Biol Eng Comput       Date:  2013-09-21       Impact factor: 2.602

2.  "Back at the same level as everyone else"-user perspectives on walking with an exoskeleton, a qualitative study.

Authors:  Gunn-Kristin Knudsen Thomassen; Vivien Jørgensen; Britt Normann
Journal:  Spinal Cord Ser Cases       Date:  2019-12-13

Review 3.  Robot-assisted Therapy in Stroke Rehabilitation.

Authors:  Won Hyuk Chang; Yun-Hee Kim
Journal:  J Stroke       Date:  2013-09-27       Impact factor: 6.967

Review 4.  Spinal plasticity in robot-mediated therapy for the lower limbs.

Authors:  Andrew Jt Stevenson; Natalie Mrachacz-Kersting; Edwin van Asseldonk; Duncan L Turner; Erika G Spaich
Journal:  J Neuroeng Rehabil       Date:  2015-09-17       Impact factor: 4.262

5.  A novel wireless recording and stimulating multichannel epicortical grid for supplementing or enhancing the sensory-motor functions in monkey (Macaca fascicularis).

Authors:  Antonio G Zippo; Pantaleo Romanelli; Napoleon R Torres Martinez; Gian C Caramenti; Alim L Benabid; Gabriele E M Biella
Journal:  Front Syst Neurosci       Date:  2015-05-12

6.  Implementation of a gait center training to improve walking ability and vital parameters in inpatient neurological rehabilitation- a cohort study.

Authors:  Stephanie Reichl; Franz Weilbach; Jan Mehrholz
Journal:  J Neuroeng Rehabil       Date:  2020-03-04       Impact factor: 4.262

7.  Effect of robot-assisted gait training on gait automaticity in Parkinson disease: A prospective, open-label, single-arm, pilot study.

Authors:  Seo Jung Yun; Hyun Haeng Lee; Woo Hyung Lee; Seung Hak Lee; Byung-Mo Oh; Han Gil Seo
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

8.  Effects of a Rehabilitation Program Using a Wearable Device on the Upper Limb Function, Performance of Activities of Daily Living, and Rehabilitation Participation in Patients with Acute Stroke.

Authors:  Yun-Sang Park; Chang-Sik An; Chae-Gil Lim
Journal:  Int J Environ Res Public Health       Date:  2021-05-21       Impact factor: 3.390

9.  Effective robotic assistive pattern of treadmill training for spinal cord injury in a rat model.

Authors:  Bo-Lun Zhao; Wen-Tao Li; Xiao-Hua Zhou; Su-Qian Wu; Hong-Shi Cao; Zhu-Ren Bao; Li-Bin An
Journal:  Exp Ther Med       Date:  2018-01-31       Impact factor: 2.447

10.  Combining transcranial direct-current stimulation with gait training in patients with neurological disorders: a systematic review.

Authors:  Rubén Hernández de Paz; Diego Serrano-Muñoz; Soraya Pérez-Nombela; Elisabeth Bravo-Esteban; Juan Avendaño-Coy; Julio Gómez-Soriano
Journal:  J Neuroeng Rehabil       Date:  2019-09-14       Impact factor: 4.262

  10 in total

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