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

  • Wei Ning Chang
  • , Jill Schuyler Lipton
  • , Athanasios I. Tsirikos
  • , Freeman Miller
  • Veterans General Hospital-Kaohsiung Taiwan
  • National Yang Ming Chiao Tung University
  • Walter Reed Army Institute of Research
  • NHS Lothian
  • Alfred I. duPont Hospital for Children

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

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.

Original languageEnglish
Pages (from-to)437-445
Number of pages9
JournalJournal of Electromyography and Kinesiology
Volume17
Issue number4
DOIs
StatePublished - Aug 2007
Externally publishedYes

Keywords

  • Dynamic electromyography
  • Gait
  • Normal
  • Pediatric

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