Literature DB >> 962568

Electromyographic temporal analysis of gait: normal human locomotion.

H I Dubo, M Peat, D A Winter, A O Quanbury, D A Hobson, T Steinke, G Reimer.   

Abstract

The telemetered electromyographic (EMG) activity of pretibial muscles (tibialis anterior), triceps surae (lateral gastrocnemius), medial hamstring group and quadriceps (vastus lateralis) of 20 normal subjects was examined during locomotion. The ages of the subjects ranged from 8 to 72 years (mean, 37 years). A microswitch shoe was used to correlate the EMG activity with eight specific components of the gait cycle. Tibialis anterior showed two peaks of activity, the first at the swing-stance transition, the second at the stance-swing transition. Gastrocnemius showed a single peak of activity recorded during push-off. The medial hamstring showed its greatest activity during deceleration in the swing phase. Vastus lateralis demonstrated peak activity at the transition from swing to stance. The mean cadence was 106 steps per minute. Swing phase occupied 39.6% and stance phase 60.4% of the gait cycle.

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Mesh:

Year:  1976        PMID: 962568

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  9 in total

1.  Sensitivity of 24-h EMG duration and intensity in the human vastus lateralis muscle to threshold changes.

Authors:  Cliff S Klein; Lillian B Peterson; Sean Ferrell; Christine K Thomas
Journal:  J Appl Physiol (1985)       Date:  2009-12-10

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Authors:  C S Layne; P V McDonald; J J Bloomberg
Journal:  Exp Brain Res       Date:  1997-01       Impact factor: 1.972

3.  Is there a 'normal' profile of EMG activity in gait?

Authors:  A B Arsenault; D A Winter; R G Marteniuk
Journal:  Med Biol Eng Comput       Date:  1986-07       Impact factor: 2.602

4.  Gait analysis in patients with vertigo.

Authors:  K Ishikawa; M Edo; N Terada; Y Okamoto; K Togawa
Journal:  Eur Arch Otorhinolaryngol       Date:  1993       Impact factor: 2.503

5.  Ensemble averaging of locomotor electromyographic patterns using interpolation.

Authors:  R Shiavi; N Green
Journal:  Med Biol Eng Comput       Date:  1983-09       Impact factor: 2.602

6.  Data processing of vertical foot forces for the clinical assessment of pathological gait.

Authors:  S Miyazaki; T Takeuchi; H Iwakura; T Kubota
Journal:  Med Biol Eng Comput       Date:  1983-11       Impact factor: 2.602

7.  Representing and clustering electromyographic gait patterns with multivariate techniques.

Authors:  R Shiavi; P Griffin
Journal:  Med Biol Eng Comput       Date:  1981-09       Impact factor: 2.602

8.  Healthy humans use sex-specific co-ordination patterns of trunk muscles during gait.

Authors:  C Anders; H Wagner; C Puta; R Grassme; H C Scholle
Journal:  Eur J Appl Physiol       Date:  2008-11-21       Impact factor: 3.078

9.  Can activities of daily living contribute to EMG normalization for gait analysis?

Authors:  Aseel Ghazwan; Sarah M Forrest; Cathy A Holt; Gemma M Whatling
Journal:  PLoS One       Date:  2017-04-03       Impact factor: 3.240

  9 in total

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