Literature DB >> 10969195

Criterion validation of surface EMG variables as fatigue indicators using peak torque: a study of repetitive maximum isokinetic knee extensions.

B Gerdle1, B Larsson, S Karlsson.   

Abstract

A number of studies have been published that have used variables of the electromyogram (EMG) power spectrum during dynamic exercise. Despite these studies there is a shortage of studies of the validity of surface EMG registrations during repetitive dynamic contractions with respect to fatigue. The aim of this study was to investigate if the surface EMG variables mean frequency (MNF [Hz]) and the signal amplitude (RMS [microV]) are valid indicators of muscular fatigue (defined as "any exercise-induced reduction in the capacity to generate force or power output") during maximum repeated isokinetic knee extensions (i.e. criterion validity using peak torque). Twenty-one healthy volunteers performed 100 isokinetic knee extensions at 90 degrees s(-1). EMG signals were recorded from the vastus lateralis, the rectus femoris and the vastus medialis of the right thigh by surface electrodes. MNF and RMS of the EMG together with peak torque (PT [Nm]) were determined for each contraction. MNF showed consequently higher correlation coefficients with PT than RMS did. Positive correlations generally existed between MNF and PT. The majority of the subjects had positive correlations between RMS and PT (i.e. decreases both in PT and in RMS). In conclusion, at the individual level MNF generally - in contrast to RMS - showed good criterion validity with respect to biomechanical fatigue during dynamic maximum contractions.

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Year:  2000        PMID: 10969195     DOI: 10.1016/s1050-6411(00)00011-0

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


  22 in total

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2.  Power spectra characteristics associated with static reflexive activation of the multifidus muscle in feline models.

Authors:  Todor Arabadzhiev; Moshe Solomonow; Bing He Zhou; Nonna Dimitrova; George Dimitrov
Journal:  Eur J Appl Physiol       Date:  2008-08-01       Impact factor: 3.078

3.  Blood lactate and sEMG at different knee angles during fatiguing leg press exercise.

Authors:  Esteban M Gorostiaga; Ion Navarro-Amézqueta; Miriam González-Izal; Armando Malanda; Cristina Granados; Javier Ibáñez; Igor Setuain; Mikel Izquierdo
Journal:  Eur J Appl Physiol       Date:  2011-07-29       Impact factor: 3.078

4.  Changes in muscle strength and EMG median frequency after anterior cruciate ligament reconstruction.

Authors:  Wendy I Drechsler; Mary C Cramp; Oona M Scott
Journal:  Eur J Appl Physiol       Date:  2006-10-12       Impact factor: 3.078

5.  A subject-independent method for automatically grading electromyographic features during a fatiguing contraction.

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Journal:  IEEE Trans Biomed Eng       Date:  2012-04-06       Impact factor: 4.538

6.  The effects of muscle fatigue and movement height on movement stability and variability.

Authors:  Deanna H Gates; Jonathan B Dingwell
Journal:  Exp Brain Res       Date:  2011-02-18       Impact factor: 2.064

7.  Quantitative EMG changes during 12-week DeLorme's axiom strength training.

Authors:  Hwa-Kyung Shin; Sang-Hyun Cho; Young-Hee Lee; Oh-Yun Kwon
Journal:  Yonsei Med J       Date:  2006-02-28       Impact factor: 2.759

8.  Growth hormone substitution titrated to obtain IGF-I levels in the physiological range in hypopituitary adults: effects upon dynamic strength, endurance and EMG.

Authors:  Bertil Ekman; Björn Gerdle; Hans J Arnqvist
Journal:  Eur J Appl Physiol       Date:  2003-07-26       Impact factor: 3.078

9.  Predicting Blood Lactate Concentration and Oxygen Uptake from sEMG Data during Fatiguing Cycling Exercise.

Authors:  Petras Ražanskas; Antanas Verikas; Charlotte Olsson; Per-Arne Viberg
Journal:  Sensors (Basel)       Date:  2015-08-19       Impact factor: 3.576

10.  Electrophysiological characteristics according to activity level of myofascial trigger points.

Authors:  Seong Hun Yu; Hyun Jin Kim
Journal:  J Phys Ther Sci       Date:  2015-09-30
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