Abstract

Abstract Introduction: Analyze muscle co-contraction using electromyographic signals, which are normalized to compare individuals, muscles and studies. Maximum voluntary isometric contraction (MVIC) and peak electrical activity (PEA) during movement are the most widely used forms of normalization. Objective: Compare inter-subject variability and investigate the association between the co-contraction indices of the vastus lateralis and biceps femoris during gait, normalized by MVIC and PEA. Methods: Thirty elderly women, aged 70.33 ± 3.69 years took part. Electrical muscle activity during MVIC and gait was recorded using a Biopac MP100 electromyograph. MVIC was performed in a Biodex isokinetic dynamometer. For normalization, the signals were divided by the Root Mean Square values of MVIC and PEA of gait. Results: The coefficient of variation of non-normalized data was 69.3%, and those normalized by PEA and MVIC were 30.4% and 48.9% respectively. Linear regression analysis resulted in a prediction model: PEA = 0.04 + 0.16 x MVIC. The goodness of fit of the regression model was statistically significant (p=0.02). The confidence interval (95% CI) for the intercept was between 0.02 and 0.29 and for MVIC between 0.03 and 0.06. Conclusions: The data normalized by PEA showed less variation than those normalized by MVIC. A 100% variation in data normalized by MVIC resulted in a 16% variation in data normalized by PEA, while variation in normalization by MVIC accounts for 17% of the variation in normalization by PEA and vice versa.

Highlights

  • Analyze muscle co-contraction using electromyographic signals, which are normalized to compare individuals, muscles and studies

  • A 100% variation in data normalized by Maximum voluntary isometric contraction (MVIC) resulted in a 16% variation in data normalized by peak electrical activity (PEA), while variation in normalization by MVIC accounts for 17% of the variation in normalization by PEA and vice versa

  • The con idence level for the intercept was from 0.02 to 0.29 and for MVIC from 0.03 to 0.06. These results suggest that an increase of 1 unit in MVIC corresponds to a rise of 0.16 in PEA, that is, a 100% variation in MVIC corresponds to only 16% in PEA

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Summary

Introduction

Analyze muscle co-contraction using electromyographic signals, which are normalized to compare individuals, muscles and studies. Maximum voluntary isometric contraction (MVIC) and peak electrical activity (PEA) during movement are the most widely used forms of normalization. Electrical muscle activity during MVIC and gait was recorded using a Biopac MP100 electromyograph. The signals were divided by the Root Mean Square values of MVIC and PEA of gait. Muscle co-contraction is the simultaneous contraction of two or more antagonist muscles around a joint (1 - 3) This phenomenon has been used to qualitatively and quantitatively assess human motor behavior in different situations such as gait, reach, jump and stability disorders [4, 5]. Surface electromyography (EMG), an ef icient tool to assess muscle activity, is used for quantitative and qualitative evaluation of the co-contraction. The signal captured and recorded by this instrument corresponds to the sum of action potentials of motor units generated by voluntary and re lex muscle action, captured by electrodes placed on the surface of muscles (4 - 9)

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