Literature DB >> 8429847

Use of the surface EMG signal for performance evaluation of back muscles.

C J De Luca1.   

Abstract

For well over a decade my associates and I have been developing an objective, noninvasive technique to evaluate the performance of low-back muscles, with emphasis on being able to distinguish between healthy and dysfunctioned backs. Our approach is based on the well-known fact that the EMG signal undergoes a compression in the frequency domain during a sustained muscle contraction. In particular we track the median frequency of EMG signals detected from six muscles in the lower back during an isometric extension of the trunk. The measurements are taken with the Back Analysis System which consists of a postural restraining device, special electrodes for detecting the EMG signals, a muscle fatigue monitor which calculates the median frequencies, and the appropriate software. We have found that the pattern of fatigue exhibited by the six median frequency curves can be used to distinguish individuals who have low-back pain from those who do not with an accuracy of at least 84%. An even more relevant and timely application of our technique is for quantifying the progression of the performance of low-back muscles during a rehabilitation program. Although more work is required to explore the intricacies of the technique, present results provide a convincing indication that it is reliable and that it is ready to be placed into practice.

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Year:  1993        PMID: 8429847     DOI: 10.1002/mus.880160216

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  20 in total

1.  Squat, stoop, or semi-squat: a comparative experiment on lifting technique.

Authors:  Zhenglun Wang; Lei Wu; Jingzhi Sun; Lihua He; Sheng Wang; Lei Yang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2012-08-11

2.  Muscle fibre size and type distribution in thoracic and lumbar regions of erector spinae in healthy subjects without low back pain: normal values and sex differences.

Authors:  A F Mannion; G A Dumas; R G Cooper; F J Espinosa; M W Faris; J M Stevenson
Journal:  J Anat       Date:  1997-05       Impact factor: 2.610

3.  Muscle fatigue in women with primary biliary cirrhosis: Spectral analysis of surface electromyography.

Authors:  Maria Rosa Biagini; Alessandro Tozzi; Antonello Grippo; Andrea Galli; Stefano Milani; Aldo Amantini
Journal:  World J Gastroenterol       Date:  2006-08-28       Impact factor: 5.742

4.  Lumbar muscle fatigue and subjective health measurements in patients with lumbar disc herniation 2 years after surgery.

Authors:  Åsa Dedering
Journal:  Eur Spine J       Date:  2011-12-25       Impact factor: 3.134

5.  Back extensor muscle fatigue in patients with lumbar disc herniation. Pre-operative and post-operative analysis of electromyography, endurance time and subjective factors.

Authors:  Asa Dedering; Karin Harms-Ringdahl; Gunnar Nèmeth
Journal:  Eur Spine J       Date:  2005-06-07       Impact factor: 3.134

6.  Back and hip extensor muscles fatigue in healthy subjects: task-dependency effect of two variants of the Sorensen test.

Authors:  Annick Champagne; Martin Descarreaux; Danik Lafond
Journal:  Eur Spine J       Date:  2008-09-24       Impact factor: 3.134

7.  Spectral analysis of electromyogram in lumbar muscles: fatigue induced endurance contraction.

Authors:  T Tsuboi; T Satou; K Egawa; Y Izumi; M Miyazaki
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

8.  EMG recovery and ratings after back extensor fatigue in patients with lumbar disc herniation and healthy subjects.

Authors:  Asa Dedering; Britt Elfving; Gunnar Németh
Journal:  Eur J Appl Physiol       Date:  2004-03-16       Impact factor: 3.078

9.  Assessment of Diaphragm and External Intercostals Fatigue from Surface EMG using Cervical Magnetic Stimulation.

Authors:  Meng-Yueh Chien; Ying-Tai Wu; Ya-Ju Chang
Journal:  Sensors (Basel)       Date:  2008-03-28       Impact factor: 3.576

10.  A Cycling Movement Based System for Real-Time Muscle Fatigue and Cardiac Stress Monitoring and Analysis.

Authors:  Szi-Wen Chen; Jiunn-Woei Liaw; Ya-Ju Chang; Hsiao-Lung Chan; Li-Yu Chiu
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

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