Literature DB >> 9741804

Locomotor training in paraplegic patients: a new approach to assess changes in leg muscle EMG patterns.

T Erni1, G Colombo.   

Abstract

This study describes an amplitude independent assessment of changes in leg muscle EMG patterns in both complete and incomplete paraplegic patients during the course of locomotor training. The approach expresses the change as an approximation of the patients' gait EMG pattern compared with that of healthy subjects. The variation ratio (VR), coefficient of variation (CV) and Pearson's correlation coefficient (R), are used as measures of the dissimilarity/similarity of a set of wave forms. These parameters were evaluated for their ability to assess changes in the EMG pattern of the patients with respect to that of healthy subjects. The VR showed the best correlation to our data and was therefore considered to represent the optimum variable in the assessment of changes in EMG patterns.

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Year:  1998        PMID: 9741804     DOI: 10.1016/s0924-980x(98)00005-8

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  7 in total

1.  Obstacle avoidance during human walking: learning rate and cross-modal transfer.

Authors:  T Erni; V Dietz
Journal:  J Physiol       Date:  2001-07-01       Impact factor: 5.182

2.  Obstacle avoidance during human walking: H-reflex modulation during motor learning.

Authors:  F Hess; H J A Van Hedel; V Dietz
Journal:  Exp Brain Res       Date:  2003-05-14       Impact factor: 1.972

3.  Obstacle avoidance during human walking: transfer of motor skill from one leg to the other.

Authors:  H J A van Hedel; M Biedermann; T Erni; V Dietz
Journal:  J Physiol       Date:  2002-09-01       Impact factor: 5.182

4.  Changes in muscle activation patterns in response to enhanced sensory input during treadmill stepping in infants born with myelomeningocele.

Authors:  Annette Pantall; Caroline Teulier; Beverly D Ulrich
Journal:  Hum Mov Sci       Date:  2012-11-15       Impact factor: 2.161

Review 5.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

6.  Altered muscle activation patterns (AMAP): an analytical tool to compare muscle activity patterns of hemiparetic gait with a normative profile.

Authors:  Shraddha Srivastava; Carolynn Patten; Steven A Kautz
Journal:  J Neuroeng Rehabil       Date:  2019-01-31       Impact factor: 4.262

7.  On-board Training Strategy for IMU-Based Real-Time Locomotion Recognition of Transtibial Amputees With Robotic Prostheses.

Authors:  Dongfang Xu; Qining Wang
Journal:  Front Neurorobot       Date:  2020-10-22       Impact factor: 2.650

  7 in total

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