Literature DB >> 28484314

New generation emerging technologies for neurorehabilitation and motor assistance.

Antonio Frisoli1, Massimiliano Solazzi1, Claudio Loconsole1, Michele Barsotti1.   

Abstract

This paper illustrates the application of emerging technologies and human-machine interfaces to the neurorehabilitation and motor assistance fields. The contribution focuses on wearable technologies and in particular on robotic exoskeleton as tools for increasing freedom to move and performing Activities of Daily Living (ADLs). This would result in a deep improvement in quality of life, also in terms of improved function of internal organs and general health status. Furthermore, the integration of these robotic systems with advanced bio-signal driven human-machine interface can increase the degree of participation of patient in robotic training allowing to recognize user's intention and assisting the patient in rehabilitation tasks, thus representing a fundamental aspect to elicit motor learning.

Entities:  

Keywords:  ADL; EEG; EMG; emerging technologies; exoskeletons; human-machine interface; motor assistance; neurorehabilitation

Mesh:

Year:  2016        PMID: 28484314      PMCID: PMC5416742     

Source DB:  PubMed          Journal:  Acta Myol        ISSN: 1128-2460


  18 in total

1.  Brain-computer interface technology: a review of the first international meeting.

Authors:  J R Wolpaw; N Birbaumer; W J Heetderks; D J McFarland; P H Peckham; G Schalk; E Donchin; L A Quatrano; C J Robinson; T M Vaughan
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

2.  'Thought'--control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia.

Authors:  Gert Pfurtscheller; Gernot R Müller; Jörg Pfurtscheller; Hans Jürgen Gerner; Rüdiger Rupp
Journal:  Neurosci Lett       Date:  2003-11-06       Impact factor: 3.046

Review 3.  The impact of physical therapy on functional outcomes after stroke: what's the evidence?

Authors:  R P S Van Peppen; G Kwakkel; S Wood-Dauphinee; H J M Hendriks; Ph J Van der Wees; J Dekker
Journal:  Clin Rehabil       Date:  2004-12       Impact factor: 3.477

Review 4.  Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery.

Authors:  Neville Hogan; Hermano I Krebs; Brandon Rohrer; Jerome J Palazzolo; Laura Dipietro; Susan E Fasoli; Joel Stein; Richard Hughes; Walter R Frontera; Daniel Lynch; Bruce T Volpe
Journal:  J Rehabil Res Dev       Date:  2006 Aug-Sep

5.  Balance training following stroke: effects of task-oriented exercises with and without altered sensory input.

Authors:  Jean-François Bayouk; Jean P Boucher; Alain Leroux
Journal:  Int J Rehabil Res       Date:  2006-03       Impact factor: 1.479

6.  ERD-based online brain-machine interfaces (BMI) in the context of neurorehabilitation: optimizing BMI learning and performance.

Authors:  Surjo R Soekadar; Matthias Witkowski; Jürgen Mellinger; Ander Ramos; Niels Birbaumer; Leonardo G Cohen
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2011-10       Impact factor: 3.802

7.  Brain-machine interface in chronic stroke rehabilitation: a controlled study.

Authors:  Ander Ramos-Murguialday; Doris Broetz; Massimiliano Rea; Leonhard Läer; Ozge Yilmaz; Fabricio L Brasil; Giulia Liberati; Marco R Curado; Eliana Garcia-Cossio; Alexandros Vyziotis; Woosang Cho; Manuel Agostini; Ernesto Soares; Surjo Soekadar; Andrea Caria; Leonardo G Cohen; Niels Birbaumer
Journal:  Ann Neurol       Date:  2013-08-07       Impact factor: 10.422

8.  Positive effects of robotic exoskeleton training of upper limb reaching movements after stroke.

Authors:  Antonio Frisoli; Caterina Procopio; Carmelo Chisari; Ilaria Creatini; Luca Bonfiglio; Massimo Bergamasco; Bruno Rossi; Maria Chiara Carboncini
Journal:  J Neuroeng Rehabil       Date:  2012-06-09       Impact factor: 4.262

Review 9.  Robotic neurorehabilitation: a computational motor learning perspective.

Authors:  Vincent S Huang; John W Krakauer
Journal:  J Neuroeng Rehabil       Date:  2009-02-25       Impact factor: 4.262

Review 10.  Training modalities in robot-mediated upper limb rehabilitation in stroke: a framework for classification based on a systematic review.

Authors:  Angelo Basteris; Sharon M Nijenhuis; Arno H A Stienen; Jaap H Buurke; Gerdienke B Prange; Farshid Amirabdollahian
Journal:  J Neuroeng Rehabil       Date:  2014-07-10       Impact factor: 4.262

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  4 in total

1.  General and Domain-Specific Effectiveness of Cognitive Remediation after Stroke: Systematic Literature Review and Meta-Analysis.

Authors:  Jeffrey M Rogers; Rachael Foord; Renerus J Stolwyk; Dana Wong; Peter H Wilson
Journal:  Neuropsychol Rev       Date:  2018-07-13       Impact factor: 7.444

2.  Mobile Mechatronic/Robotic Orthotic Devices to Assist-Rehabilitate Neuromotor Impairments in the Upper Limb: A Systematic and Synthetic Review.

Authors:  Gelu Onose; Nirvana Popescu; Constantin Munteanu; Vlad Ciobanu; Corina Sporea; Marian-Daniel Mirea; Cristina Daia; Ioana Andone; Aura Spînu; Andrada Mirea
Journal:  Front Neurosci       Date:  2018-09-05       Impact factor: 4.677

3.  A randomized clinical control study on the efficacy of three-dimensional upper limb robotic exoskeleton training in chronic stroke.

Authors:  Antonio Frisoli; Michele Barsotti; Edoardo Sotgiu; Giuseppe Lamola; Caterina Procopio; Carmelo Chisari
Journal:  J Neuroeng Rehabil       Date:  2022-02-04       Impact factor: 4.262

4.  A Linear Approach to Optimize an EMG-Driven Neuromusculoskeletal Model for Movement Intention Detection in Myo-Control: A Case Study on Shoulder and Elbow Joints.

Authors:  Domenico Buongiorno; Michele Barsotti; Francesco Barone; Vitoantonio Bevilacqua; Antonio Frisoli
Journal:  Front Neurorobot       Date:  2018-11-13       Impact factor: 2.650

  4 in total

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