Literature DB >> 22275665

Changes on EMG activation in healthy subjects and incomplete SCI patients following a robot-assisted locomotor training.

S Mazzoleni1, E Boldrini, C Laschi, M C Carrozza, G Stampacchia, B Rossi.   

Abstract

The aim of this study was to understand and measure the lower limbs muscular activation patterns both in healthy and spinal cord injured (SCI) subjects during robot-assisted locomotor exercise. Electromyographic (EMG) activity of four leg's muscles (rectus and biceps femoris, tibialis anterioris and gastrocnemius) was recorded and analyzed at two different percentages of body weight support, three stepping velocities and three different modalities. SCI subjects were recorded also after four weeks training to evaluate the effectiveness of lower limb robot-assisted rehabilitative treatment. A multi-factor ANOVA on the integrated muscle activity (IEMG) parameters both in healthy and SCI subjects was performed. Higher muscular activities both in healthy subjects and SCI patients were found during the exercises using the "DGO active" modality and higher stepping velocities. A significant increased bilateral muscular activity was observed in each SCI subject after the rehabilitation treatment. The method proposed to analyze EMG data provides a quantitative description of the lower limb muscular recruitment and can contribute to identify the optimal rehabilitation treatment's conditions.
© 2011 IEEE

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Year:  2011        PMID: 22275665     DOI: 10.1109/ICORR.2011.5975467

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  6 in total

1.  Electrophysiological Outcome Measures in Spinal Cord Injury Clinical Trials: A Systematic Review.

Authors:  Radha Korupolu; Argyrios Stampas; Mani Singh; Ping Zhou; Gerard Francisco
Journal:  Top Spinal Cord Inj Rehabil       Date:  2019

2.  Effects of robotic-locomotor training on stretch reflex function and muscular properties in individuals with spinal cord injury.

Authors:  Mehdi M Mirbagheri; Matthew W Kindig; Xun Niu
Journal:  Clin Neurophysiol       Date:  2014-09-22       Impact factor: 3.708

Review 3.  Settings matter: a scoping review on parameters in robot-assisted gait therapy identifies the importance of reporting standards.

Authors:  Florian van Dellen; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2022-04-22       Impact factor: 5.208

4.  Ankle voluntary movement enhancement following robotic-assisted locomotor training in spinal cord injury.

Authors:  Deborah Varoqui; Xun Niu; Mehdi M Mirbagheri
Journal:  J Neuroeng Rehabil       Date:  2014-03-31       Impact factor: 4.262

5.  Differences in muscle activity and temporal step parameters between Lokomat guided walking and treadmill walking in post-stroke hemiparetic patients and healthy walkers.

Authors:  Klaske van Kammen; Anne M Boonstra; Lucas H V van der Woude; Heleen A Reinders-Messelink; Rob den Otter
Journal:  J Neuroeng Rehabil       Date:  2017-04-20       Impact factor: 4.262

Review 6.  Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

Authors:  Chia-Ying Fang; Jia-Ling Tsai; Guo-Sheng Li; Angela Shin-Yu Lien; Ya-Ju Chang
Journal:  Biomed Res Int       Date:  2020-03-21       Impact factor: 3.411

  6 in total

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