Literature DB >> 34456444

Variations in Patterns of Muscle Activity Observed in Participants Walking in Everyday Environments: Effect of Different Surfaces.

Julien Lebleu1, Ross Parry2, Camille Bertouille3, Marine de Schaetzen3, Philippe Mahaudens1,4, Laura Wallard5, Christine Detrembleur1.   

Abstract

Purpose: The purpose of this study was to examine variations in lower limb surface electromyography (EMG) activity when individuals walked on different outdoor surfaces and to characterize the different potential motor strategies. Method: Forty healthy adult participants walked at a self-selected speed over asphalt, grass, and pavement. They then walked on an indoor treadmill at the same gait speed as observed for each outdoor condition. The EMG activity of the vastus lateralis (VL), tibialis anterior (TA), biceps femoris (BF), and gastrocnemius lateralis (GL) muscles was recorded, and the duration and intensity (root mean square) of EMG burst activity was calculated.
Results: Walking on grass resulted in a longer TA burst duration than walking on other outdoor surfaces. Walking on pavement was associated with increased intensity of TA and VL activation compared with the indoor treadmill condition. The variability of EMG intensity for all muscle groups tested (TA, GL, BF, VL) was greatest on grass and lowest on asphalt. Conclusions: The muscle activity patterns of healthy adult participants vary in response to the different qualities of outdoor walking surfaces. Ongoing development of ambulatory EMG methods will be required to support gait retraining programmes that are tailored to the environment. © Canadian Physiotherapy Association.

Entities:  

Keywords:  electromyography; environment design; gait; technology assessment, biomedical; wearable electronic devices

Year:  2021        PMID: 34456444      PMCID: PMC8370696          DOI: 10.3138/ptc-2019-0097

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.039


  24 in total

1.  Effect of speed on kinematic, kinetic, electromyographic and energetic reference values during treadmill walking.

Authors:  G Stoquart; C Detrembleur; T Lejeune
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Authors:  Franchino Porciuncula; Anna Virginia Roto; Deepak Kumar; Irene Davis; Serge Roy; Conor J Walsh; Louis N Awad
Journal:  PM R       Date:  2018-09       Impact factor: 2.298

Review 4.  A clinical view on the development of technology-based tools in managing Parkinson's disease.

Authors:  Walter Maetzler; Jochen Klucken; Malcolm Horne
Journal:  Mov Disord       Date:  2016-06-07       Impact factor: 10.338

5.  Neuromuscular adjustments of gait associated with unstable conditions.

Authors:  G Martino; Y P Ivanenko; A d'Avella; M Serrao; A Ranavolo; F Draicchio; G Cappellini; C Casali; F Lacquaniti
Journal:  J Neurophysiol       Date:  2015-09-16       Impact factor: 2.714

6.  A combined sEMG and accelerometer system for monitoring functional activity in stroke.

Authors:  Serge H Roy; M Samuel Cheng; Shey-Sheen Chang; John Moore; Gianluca De Luca; S Hamid Nawab; Carlo J De Luca
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-12       Impact factor: 3.802

7.  Effects of biofeedback treatment on gait in children with cerebral palsy.

Authors:  Erbil Dursun; Nigar Dursun; Duygu Alican
Journal:  Disabil Rehabil       Date:  2004-01-21       Impact factor: 3.033

8.  Differences in lower-extremity muscular activation during walking between healthy older and young adults.

Authors:  Anne Schmitz; Amy Silder; Bryan Heiderscheit; Jane Mahoney; Darryl G Thelen
Journal:  J Electromyogr Kinesiol       Date:  2008-12-10       Impact factor: 2.368

9.  A 4-week neuromuscular training program and gait patterns at the ankle joint.

Authors:  Garrett Coughlan; Brian Caulfield
Journal:  J Athl Train       Date:  2007 Jan-Mar       Impact factor: 2.860

10.  How to determine leg dominance: The agreement between self-reported and observed performance in healthy adults.

Authors:  Nicky van Melick; Bart M Meddeler; Thomas J Hoogeboom; Maria W G Nijhuis-van der Sanden; Robert E H van Cingel
Journal:  PLoS One       Date:  2017-12-29       Impact factor: 3.240

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