Literature DB >> 12838104

Large-array surface electromyography in low back pain: a pilot study.

Mark T Finneran1, Daniel Mazanec, Marian E Marsolais, Ernest B Marsolais, William S Pease.   

Abstract

STUDY
DESIGN: A large-array surface electromyography device was used to collect data from healthy pain-free persons and from those with acute or chronic low back pain. Images of regional muscle electromyographic activity were assessed visually, and maximum root mean square values were compared statistically.
OBJECTIVE: To determine whether data differs by patient type. SUMMARY OF BACKGROUND DATA: Whereas there is a good understanding of the anatomy and psychosocial aspects of low back pain, there is a need to understand better the physiology of low back pain.
METHODS: Large-array surface electromyography data were collected from the low back muscles of 201 participants over a 3-month period using a 63-electrode fixed array and a standardized protocol. Color images representing the voltage root mean square difference of each electrode pair were created. Three images from each of three positions (standing upright, standing in 20 degrees of trunk flexion, standing holding weights) were collected from each participant. Serial studies were performed on the acute population over a 6-week follow-up period.
RESULTS: Images of regional muscle activity from 92.7% of normal controls (n = 163) showed symmetrical activity. Patients with acute (n = 13) or chronic (n = 25) low back pain had multifocal and/or asymmetrical patterns. Symmetrical patterns returned in the three patients whose acute pain resolved during the study. Maximum root mean square values were higher among patients with acute (P = 0.03) and chronic (P = 0.04) pain than among control subjects.
CONCLUSIONS: Large-array surface electromyography produced data from patients with back pain that differed from data on subjects without back pain. This method may be useful in evaluating patients with low back pain.

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Mesh:

Year:  2003        PMID: 12838104     DOI: 10.1097/01.BRS.0000067565.16832.B9

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

Review 1.  How is recovery from low back pain measured? A systematic review of the literature.

Authors:  Steven J Kamper; Tasha R Stanton; Christopher M Williams; Christopher G Maher; Julia M Hush
Journal:  Eur Spine J       Date:  2010-06-16       Impact factor: 3.134

2.  Lateral trunk flexion in Parkinson's disease: EMG features disclose two different underlying pathophysiological mechanisms.

Authors:  Alessandro Di Matteo; Alfonso Fasano; Giovanna Squintani; Lucia Ricciardi; Tommaso Bovi; Antonio Fiaschi; Paolo Barone; Michele Tinazzi
Journal:  J Neurol       Date:  2010-11-16       Impact factor: 4.849

3.  Increased incidence and severity of somatic dysfunction in subjects with chronic low back pain.

Authors:  Karen T Snider; Jane C Johnson; Eric J Snider; Brian F Degenhardt
Journal:  J Am Osteopath Assoc       Date:  2008-08

4.  The effect of a six-week osteopathic visceral manipulation in patients with non-specific chronic low back pain and functional constipation: study protocol for a randomized controlled trial.

Authors:  Walkyria Vilas Boas Fernandes; Cleofás Rodríguez Blanco; Fabiano Politti; Fernanda de Cordoba Lanza; Paulo Roberto Garcia Lucareli; João Carlos Ferrari Corrêa
Journal:  Trials       Date:  2018-03-02       Impact factor: 2.279

5.  Tension-type headache and low back pain reconsidered.

Authors:  Jens Astrup; Finn Gyntelberg
Journal:  Front Neurol       Date:  2022-07-29       Impact factor: 4.086

6.  Muscle functional magnetic resonance imaging and acute low back pain: a pilot study to characterize lumbar muscle activity asymmetries and examine the effects of osteopathic manipulative treatment.

Authors:  Brian C Clark; Stevan Walkowski; Robert R Conatser; David C Eland; John N Howell
Journal:  Osteopath Med Prim Care       Date:  2009-08-27

Review 7.  Application of advanced biomechanical methods in studying low back pain - recent development in estimation of lower back loads and large-array surface electromyography and findings.

Authors:  Babak Bazrgari; Ting Xia
Journal:  J Pain Res       Date:  2017-07-17       Impact factor: 3.133

  7 in total

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