Literature DB >> 12173738

Changes in the surface EMG signal and the biomechanics of motion during a repetitive lifting task.

Paolo Bonato1, Patrick Boissy, Ugo Della Croce, Serge H Roy.   

Abstract

The analysis of surface electromyographic (EMG) data recorded from the muscles of the back during isometric constant-force contractions has been a useful tool for assessing muscle deficits in patients with lower back pain (LBP). Until recently, extending the technique to dynamic tasks, such as lifting, has not been possible due to the nonstationarity of the EMG signals. Recent developments in time-frequency analysis procedures to compute the instantaneous median frequency (IMDF) were utilized in this study to overcome these limitations. Healthy control subjects with no history of LBP (n = 9; mean age 26.3 +/- 6.7) were instrumented for acquisition of surface EMG data from six electrodes on the thoraco-lumbar region and whole-body kinematic data from a stereo-photogrammetric system. Data were recorded during a standardized repetitive lifting task (load = 15% body mass; 12 lifts/min; 5-min duration). The task resulted in significant decreases in IMDF for six of the nine subjects, with a symmetrical pattern of fatigue among contralateral muscles and greater decrements in the lower lumbar region. For those subjects with a significant decrease in IMDF, a lower limb and/or upper limb biomechanical adaptation to fatigue was observed during the task. Increases in the peak box acceleration were documented. In two subjects, the acceleration doubled its value from the beginning to the end of the exercise, which lead to a significant increase in the torque at L4/L5. This observation suggests an association between muscle fatigue at the lumbar region and the way the subject manipulates the box during the exercise. Fatigue-related biomechanical adaptations are discussed as a possible supplement to functional capacity assessments among patients with LBP.

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Year:  2002        PMID: 12173738     DOI: 10.1109/TNSRE.2002.1021585

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  7 in total

1.  Association of electromyographic activation patterns with pain and functional disability in people with chronic neck pain.

Authors:  Sharon M H Tsang; Grace P Y Szeto; Y F Xie; Raymond Y W Lee
Journal:  Eur J Appl Physiol       Date:  2018-05-05       Impact factor: 3.078

2.  Experimental muscle pain changes motor control strategies in dynamic contractions.

Authors:  Ulysses F Ervilha; Dario Farina; Lars Arendt-Nielsen; Thomas Graven-Nielsen
Journal:  Exp Brain Res       Date:  2005-06-11       Impact factor: 1.972

3.  Effects of cooling and clothing on vertical trajectories of the upper arm and muscle functions during repetitive light work.

Authors:  Hugo Piedrahita; Juha Oksa; Christer Malm; Erja Sormunen; Hannu Rintamäki
Journal:  Eur J Appl Physiol       Date:  2007-12-20       Impact factor: 3.078

4.  Muscle Activity Adaptations to Spinal Tissue Creep in the Presence of Muscle Fatigue.

Authors:  Jacques Abboud; François Nougarou; Martin Descarreaux
Journal:  PLoS One       Date:  2016-02-11       Impact factor: 3.240

Review 5.  EMG Processing Based Measures of Fatigue Assessment during Manual Lifting.

Authors:  E F Shair; S A Ahmad; M H Marhaban; S B Mohd Tamrin; A R Abdullah
Journal:  Biomed Res Int       Date:  2017-02-19       Impact factor: 3.411

6.  Predicting Endurance Time in a Repetitive Lift and Carry Task Using Linear Mixed Models.

Authors:  Ben Beck; Daniel J Ham; Stuart A Best; Greg L Carstairs; Robert J Savage; Lahn Straney; Joanne N Caldwell
Journal:  PLoS One       Date:  2016-07-05       Impact factor: 3.240

7.  Nondestructive Estimation of Muscle Contributions to STS Training with Different Loadings Based on Wearable Sensor System.

Authors:  Kun Liu; Yong Liu; Jianchao Yan; Zhenyuan Sun
Journal:  Sensors (Basel)       Date:  2018-03-25       Impact factor: 3.576

  7 in total

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