Literature DB >> 20692162

Normative EMG activation patterns of school-age children during gait.

V Agostini1, A Nascimbeni, A Gaffuri, P Imazio, M G Benedetti, M Knaflitz.   

Abstract

Gait analysis is widely used in clinics to study walking abnormalities for surgery planning, definition of rehabilitation protocols, and objective evaluation of clinical outcomes. Surface electromyography allows the study of muscle activity non-invasively and the evaluation of the timing of muscle activation during movement. The aim of this study was to present a normative dataset of muscle activation patterns obtained from a large number of strides in a population of 100 healthy children aged 6-11 years. The activity of Tibialis Anterior, Lateral head of Gastrocnemius, Vastus Medialis, Rectus Femoris and Lateral Hamstrings on both lower limbs was analyzed during a 2.5-min walk at free speed. More than 120 consecutive strides were analyzed for each child, resulting in approximately 28,000 strides. Onset and offset instants were reported for each observed muscle. The analysis of a high number of strides for each participant allowed us to obtain the most recurrent patterns of activation during gait, demonstrating that a subject uses a specific muscle with different activation modalities even in the same walk. The knowledge of the various activation patterns and of their statistics will be of help in clinical gait analysis and will serve as reference in the design of future gait studies.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20692162     DOI: 10.1016/j.gaitpost.2010.06.024

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  12 in total

1.  Assessing Neurokinematic and Neuromuscular Connectivity During Walking Using Mobile Brain-Body Imaging.

Authors:  Mingqi Zhao; Gaia Bonassi; Jessica Samogin; Gaia Amaranta Taberna; Camillo Porcaro; Elisa Pelosin; Laura Avanzino; Dante Mantini
Journal:  Front Neurosci       Date:  2022-06-03       Impact factor: 5.152

2.  Does texting while walking really affect gait in young adults?

Authors:  Valentina Agostini; Francesco Lo Fermo; Giuseppe Massazza; Marco Knaflitz
Journal:  J Neuroeng Rehabil       Date:  2015-09-22       Impact factor: 4.262

3.  Gait analysis on force treadmill in children: comparison with results from ground-based force platforms.

Authors:  Luigi Tesio; Chiara Malloggi; Nicola M Portinaro; Luigi Catino; Nicola Lovecchio; Viviana Rota
Journal:  Int J Rehabil Res       Date:  2017-12       Impact factor: 1.479

4.  Can Lokomat therapy with children and adolescents be improved? An adaptive clinical pilot trial comparing Guidance force, Path control, and FreeD.

Authors:  Tabea Aurich-Schuler; Fabienne Grob; Hubertus J A van Hedel; Rob Labruyère
Journal:  J Neuroeng Rehabil       Date:  2017-07-14       Impact factor: 4.262

5.  The Effects of Exoskeleton Assisted Knee Extension on Lower-Extremity Gait Kinematics, Kinetics, and Muscle Activity in Children with Cerebral Palsy.

Authors:  Zachary F Lerner; Diane L Damiano; Thomas C Bulea
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

Review 6.  The Motion of Body Center of Mass During Walking: A Review Oriented to Clinical Applications.

Authors:  Luigi Tesio; Viviana Rota
Journal:  Front Neurol       Date:  2019-09-20       Impact factor: 4.003

7.  EMG-Based Characterization of Walking Asymmetry in Children with Mild Hemiplegic Cerebral Palsy.

Authors:  Francesco Di Nardo; Annachiara Strazza; Alessandro Mengarelli; Stefano Cardarelli; Andrea Tigrini; Federica Verdini; Alberto Nascimbeni; Valentina Agostini; Marco Knaflitz; Sandro Fioretti
Journal:  Biosensors (Basel)       Date:  2019-06-27

8.  Leg surface electromyography patterns in children with neuro-orthopedic disorders walking on a treadmill unassisted and assisted by a robot with and without encouragement.

Authors:  Tabea Aurich Schuler; Roland Müller; Hubertus J A van Hedel
Journal:  J Neuroeng Rehabil       Date:  2013-07-18       Impact factor: 4.262

9.  Analysis and Classification of Stride Patterns Associated with Children Development Using Gait Signal Dynamics Parameters and Ensemble Learning Algorithms.

Authors:  Meihong Wu; Lifang Liao; Xin Luo; Xiaoquan Ye; Yuchen Yao; Pinnan Chen; Lei Shi; Hui Huang; Yunfeng Wu
Journal:  Biomed Res Int       Date:  2016-02-29       Impact factor: 3.411

10.  A Wearable Magneto-Inertial System for Gait Analysis (H-Gait): Validation on Normal Weight and Overweight/Obese Young Healthy Adults.

Authors:  Valentina Agostini; Laura Gastaldi; Valeria Rosso; Marco Knaflitz; Shigeru Tadano
Journal:  Sensors (Basel)       Date:  2017-10-21       Impact factor: 3.576

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