Literature DB >> 23063912

Knee angle-specific EMG normalization: the use of polynomial based EMG-angle relationships.

Jacob E Earp1, Robert U Newton, Prue Cormie, Anthony J Blazevich.   

Abstract

The normalization of EMG signals to those recorded during a maximal voluntary contraction provides a valid construct for comparisons of relative muscle activity. However, the length dependence of muscle activation and purported, substantial, muscle translocation and changes in muscle architecture during dynamic movements presents a need for joint angle-dependent normalization processes. The purposes of the present study were to: (1) quantify variations in muscle activity across a large ROM, (2) determine the accuracy with which fitted EMG-joint angle curves accurately characterized these variations, and (3) compare peak (EMG-P) and average (EMG-A) EMG amplitudes obtained during a countermovement leg extension when normalized to both absolute peak and joint angle-specific muscle activity. Fifteen subjects performed a large ROM (110°) isokinetic (30°s(-1)) leg extension from which EMG-joint angle relationships were derived using polynomial fitting of different complexities. Ten subjects also performed loaded countermovement leg extensions from which EMG signals were normalized using peak muscle activity and EMG-angle curves. EMG amplitude varied significantly over the ROM and the use of EMG-angle curves for signal normalization resulted in significantly greater EMG-P and EMG-A than those normalized using the absolute peak EMG. Higher-order polynomial fitting better matched the filtered EMG amplitudes. Thus, there is a strong rationale for using EMG-angle polynomial fits to normalize EMG signals for large ROM movements.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23063912     DOI: 10.1016/j.jelekin.2012.08.015

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


  3 in total

1.  The influence of loading intensity on muscle-tendon unit behavior during maximal knee extensor stretch shortening cycle exercise.

Authors:  Jacob E Earp; Robert U Newton; Prue Cormie; Anthony J Blazevich
Journal:  Eur J Appl Physiol       Date:  2013-10-23       Impact factor: 3.078

2.  Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane.

Authors:  Muye Pang; Shuxiang Guo; Qiang Huang; Hidenori Ishihara; Hideyuki Hirata
Journal:  J Med Biol Eng       Date:  2015-04-25       Impact factor: 1.553

3.  Adaptive Control of Exoskeleton Robots for Periodic Assistive Behaviours Based on EMG Feedback Minimisation.

Authors:  Luka Peternel; Tomoyuki Noda; Tadej Petrič; Aleš Ude; Jun Morimoto; Jan Babič
Journal:  PLoS One       Date:  2016-02-16       Impact factor: 3.240

  3 in total

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