Literature DB >> 9323644

Classification of back muscle impairment based on the surface electromyographic signal.

S H Roy1, C J De Luca, M Emley, L I Oddsson, R J Buijs, J A Levins, D S Newcombe, J F Jabre.   

Abstract

A surface electromyographic (EMG) procedure for classifying muscle impairments in persons with low back pain (LBP) is described. The procedure was studied using a device, the Back Analysis System (BAS), to acquire and process EMG signals from six bilateral muscle sites during sustained isometric contractions designed to progressively fatigue the lower back. Back muscle impairment was determined on the basis of the different ways in which the EMG median frequency parameters change as a function of contraction duration and muscle site. The article describes a series of studies that have been useful in developing an automated procedure for identifying back muscle impairment by comparing individual test results to a normative database. To date, the research results have produced multivariate discriminant functions that have identified two muscle impairment categories associated with deconditioning and imbalances secondary to LBP. We have found that the functions can distinguish individuals with and without LBP with an accuracy of approximately 90%. Other studies are described in which the technique is applied to monitoring changes in muscle performance capability that occur following rehabilitation for LBP. Many of our findings here are also compared to the results of independent studies by others using similar procedures. The need for further research and development of the technique to improve its clinical applicability is also described.

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Year:  1997        PMID: 9323644

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  9 in total

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5.  The potential use of spectral electromyographic fatigue as a screening and outcome monitoring tool of sarcopenic back muscle alterations.

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6.  Age- and sex-specific effects in paravertebral surface electromyographic back extensor muscle fatigue in chronic low back pain.

Authors:  Gerold Ebenbichler; Richard Habenicht; Sara Ziegelbecker; Josef Kollmitzer; Patrick Mair; Thomas Kienbacher
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7.  The Reliability and Validity of Gluteal Endurance Measures (GEMs).

Authors:  B J Lehecka; Barbara S Smith; Todd Rundell; Thomas A Cappaert; Nils A Hakansson
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8.  Disability and back muscle fatigability changes following two therapeutic exercise interventions in participants with recurrent low back pain.

Authors:  Paul S Sung
Journal:  Med Sci Monit       Date:  2013-01-14

9.  Training induced fatigability assessed by sEMG in Pre-Olympic ice-skaters.

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Journal:  Sci Rep       Date:  2020-08-26       Impact factor: 4.379

  9 in total

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