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PHYS THER
Vol. 88, No. 9, September 2008, pp. 1061-1067
DOI: 10.2522/ptj.20070146

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Research Reports

Electromyography for Assessment of Pain in Low Back Muscles

Cláudia Tarragô Candotti, Jefferson Fagundes Loss, Ana Maria Steffens Pressi, Flávio Antonio de Souza Castro, Marcelo La Torre, Mônica de Oliveira Melo, Lucas Dutra Araújo and Maicon Pasini

CT Candotti, PhD, is Professor, Curso de Educação Física, Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil
JF Loss, PhD, is Professor, Escola de Educação Física, Universidade Federal do Rio Grande do Sul, Rua Fernando Osório, 1887, CEP 91720-330, Porto Alegre, Brazil
AMS Pressi, MSc, is Research Assistant, Curso de Educação Física, Universidade do Vale do Rio dos Sinos
FAS Castro, PhD, is Professor, Escola de Educação Física, Universidade Federal do Rio Grande do Sul
M La Torre is Physical Education Teacher and an MSc student in the Curso de Educação Física, Universidade do Vale do Rio dos Sinos
MO Melo is Physical Education Teacher and an MSc student in the Curso de Educação Física, Universidade do Vale do Rio dos Sinos
LD Araújo is Physical Education Teacher and an MSc student in the Curso de Educação Física, Universidade do Vale do Rio dos Sinos
M Pasini is Physical Education Teacher and an MSc student in the Curso de Educação Física, Universidade do Vale do Rio dos Sinos

Address all correspondence to Dr Loss at: jefferson.loss{at}ufrgs.br

Background and Purpose: Pain is currently evaluated with "subjective" methods (eg, patient self-report). This study aimed to test whether fatigue indexes are able to accurately discriminate between subjects with and subjects without low back pain.

Subjects: Sixty subjects separated into 2 groups—a group with low back pain (n=30) and a group without low back pain (n=30)—participated in this study.

Methods: Electromyographic (EMG) and force data were obtained during a muscle fatigue test. The same test was repeated to monitor recovery. Linear regression analysis was used to obtain fatigue indexes.

Results: Subjects with pain produced significantly lower force values than those without pain. The use of fatigue indexes and force values permitted accurate classification in 89.5% of cases.

Discussion and Conclusion: The results confirm that subjects with pain show early myoelectrical manifestations of muscle fatigue and that EMG can be a useful tool in the evaluation of low back pain.







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