Literature DB >> 33414754

Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human-Robot Collaborative Technologies.

Alberto Ranavolo1, Mariano Serrao2,3, Francesco Draicchio1.   

Abstract

Patients affected by neurological pathologies with motor disorders when they are of working age have to cope with problems related to employability, difficulties in working, and premature work interruption. It has been demonstrated that suitable job accommodation plans play a beneficial role in the overall quality of life of pathological subjects. A well-designed return-to-work program should consider several recent innovations in the clinical and ergonomic fields. One of the instrument-based methods used to monitor the effectiveness of ergonomic interventions is surface electromyography (sEMG), a multi-channel, non-invasive, wireless, wearable tool, which allows in-depth analysis of motor coordination mechanisms. Although the scientific literature in this field is extensive, its use remains significantly underexploited and the state-of-the-art technology lags expectations. This is mainly attributable to technical and methodological (electrode-skin impedance, noise, electrode location, size, configuration and distance, presence of crosstalk signals, comfort issues, selection of appropriate sensor setup, sEMG amplitude normalization, definition of correct sEMG-related outcomes and normative data) and cultural limitations. The technical and methodological problems are being resolved or minimized also thanks to the possibility of using reference books and tutorials. Cultural limitations are identified in the traditional use of qualitative approaches at the expense of quantitative measurement-based monitoring methods to design and assess ergonomic interventions and train operators. To bridge the gap between the return-to-work rehabilitation and other disciplines, several teaching courses, accompanied by further electrodes and instrumentations development, should be designed at all Bachelor, Master and PhD of Science levels to enhance the best skills available among physiotherapists, occupational health and safety technicians and ergonomists.
Copyright © 2020 Ranavolo, Serrao and Draicchio.

Entities:  

Keywords:  exoskeletons control; instrumental-based biomechanical risk assessment; manual material handling monitoring; return-to-work rehabilitation; surface electromyography

Year:  2020        PMID: 33414754      PMCID: PMC7783040          DOI: 10.3389/fneur.2020.572069

Source DB:  PubMed          Journal:  Front Neurol        ISSN: 1664-2295            Impact factor:   4.003


  82 in total

Review 1.  Methods for estimating muscle fibre conduction velocity from surface electromyographic signals.

Authors:  D Farina; R Merletti
Journal:  Med Biol Eng Comput       Date:  2004-07       Impact factor: 2.602

Review 2.  Technology and instrumentation for detection and conditioning of the surface electromyographic signal: state of the art.

Authors:  Roberto Merletti; Alberto Botter; Amedeo Troiano; Enrico Merlo; Marco Alessandro Minetto
Journal:  Clin Biomech (Bristol, Avon)       Date:  2008-11-29       Impact factor: 2.063

3.  Return to work after mild-to-moderate stroke: work satisfaction and predictive factors.

Authors:  Jet van der Kemp; Willeke J Kruithof; Tanja C W Nijboer; Coen A M van Bennekom; Caroline van Heugten; Johanna M A Visser-Meily
Journal:  Neuropsychol Rehabil       Date:  2017-04-26       Impact factor: 2.868

4.  Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control.

Authors:  J M Hahne; F Biessmann; N Jiang; H Rehbaum; D Farina; F C Meinecke; K-R Muller; L C Parra
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-03       Impact factor: 3.802

5.  Locomotor patterns in cerebellar ataxia.

Authors:  G Martino; Y P Ivanenko; M Serrao; A Ranavolo; A d'Avella; F Draicchio; C Conte; C Casali; F Lacquaniti
Journal:  J Neurophysiol       Date:  2014-09-03       Impact factor: 2.714

Review 6.  Supporting work for people with multiple sclerosis.

Authors:  Catherine Doogan; E Diane Playford
Journal:  Mult Scler       Date:  2014-02-13       Impact factor: 6.312

Review 7.  Sporadic ataxia with adult onset: classification and diagnostic criteria.

Authors:  Thomas Klockgether
Journal:  Lancet Neurol       Date:  2010-01       Impact factor: 44.182

Review 8.  Methodologies to assess muscle co-contraction during gait in people with neurological impairment - a systematic literature review.

Authors:  Marlene Cristina Neves Rosa; Alda Marques; Sara Demain; Cheryl D Metcalf; João Rodrigues
Journal:  J Electromyogr Kinesiol       Date:  2013-11-15       Impact factor: 2.368

9.  Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges-A Systematic Review.

Authors:  Ranavolo Alberto; Francesco Draicchio; Tiwana Varrecchia; Alessio Silvetti; Sergio Iavicoli
Journal:  Int J Environ Res Public Health       Date:  2018-09-13       Impact factor: 3.390

10.  A High-Level Control Algorithm Based on sEMG Signalling for an Elbow Joint SMA Exoskeleton.

Authors:  Dorin Copaci; David Serrano; Luis Moreno; Dolores Blanco
Journal:  Sensors (Basel)       Date:  2018-08-02       Impact factor: 3.576

View more
  1 in total

1.  Indexes for motor performance assessment in job integration/reintegration of people with neuromuscular disorders: A systematic review.

Authors:  Giorgia Chini; Lorenzo Fiori; Antonella Tatarelli; Tiwana Varrecchia; Francesco Draicchio; Alberto Ranavolo
Journal:  Front Neurol       Date:  2022-09-08       Impact factor: 4.086

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.