Literature DB >> 16603385

Kinesiological surface electromyography in normal children: range of normal activity and pattern analysis.

Wei-Ning Chang1, Jill Schuyler Lipton, Athanasios I Tsirikos, Freeman Miller.   

Abstract

To document the range of activity and patterns of normal surface kinesiological electromyography in normal children, 87 children ranging from age 3 to 18 years who were developing normally were evaluated at free walking speed. Analysis was performed on 6307 gait cycles from 11 different muscles with custom software. We devised an algorithm to do a computer-based KEMG curve pattern analysis to sort out curves that did not match the physiologic muscle activity pattern, We also devised a combined preset amplitude and statistics-based criteria to satisfactorily determine the onset/cessation of KEMG activity. The measurements of timing and duration of activity, body height and weight, body mass index, cadence, stride length, and age were obtained for statistical analysis. From the pattern recognition, the medial and lateral hamstrings, gluteus maximus and medius, and gastrocnemius muscles had the highest percentage of clinically relevant curves. In most muscle groups, The KEMG curves had an average background activity of about 11-15% of maximum amplitude. The surface KEMG curves from normal subjects have 12.7% cycles that did not match their physiologic activity pattern. The timing and duration of KEMG activity was poorly or only fairly correlated with age, body height, body weight, and body mass index. The ensemble average of the linear envelope KEMG curves of each muscle could be applied as a normal database in a clinical gait analysis laboratory focusing on pediatric patients.

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Year:  2006        PMID: 16603385     DOI: 10.1016/j.jelekin.2006.02.003

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  7 in total

1.  Age-related slip avoidance strategy while walking over a known slippery floor surface.

Authors:  Thurmon E Lockhart; Jeremy M Spaulding; Sung Ha Park
Journal:  Gait Posture       Date:  2006-10-04       Impact factor: 2.840

2.  Age and electromyographic frequency alterations during walking in children with cerebral palsy.

Authors:  Richard T Lauer; Samuel R Pierce; Carole A Tucker; Mary F Barbe; Laura A Prosser
Journal:  Gait Posture       Date:  2009-10-23       Impact factor: 2.840

3.  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

4.  An Increase in Kinematic Freedom in the Lokomat Is Related to the Ability to Elicit a Physiological Muscle Activity Pattern: A Secondary Data Analysis Investigating Differences Between Guidance Force, Path Control, and FreeD.

Authors:  Tabea Aurich-Schuler; Rob Labruyère
Journal:  Front Robot AI       Date:  2019-10-31

5.  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

6.  Do Three Different Passive Assessments of Quadriceps Spasticity Relate to the Functional Activity of Walking for Children Diagnosed with Cerebral Palsy?

Authors:  Hank White; Tim L Uhl; Sam Augsburger
Journal:  Neurosci J       Date:  2015-10-20

7.  Muscle Activation during Gait in Children with Duchenne Muscular Dystrophy.

Authors:  Juliette Ropars; Mathieu Lempereur; Carole Vuillerot; Vincent Tiffreau; Sylviane Peudenier; Jean-Marie Cuisset; Yann Pereon; Fabien Leboeuf; Ludovic Delporte; Yannick Delpierre; Raphaël Gross; Sylvain Brochard
Journal:  PLoS One       Date:  2016-09-13       Impact factor: 3.240

  7 in total

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