Electromyography for Assessment of Pain in Low Back Muscles

Author:

Candotti Cláudia Tarragô1,Loss Jefferson Fagundes2,Pressi Ana Maria Steffens3,de Souza Castro Flávio Antonio4,La Torre Marcelo5,de Oliveira Melo Mônica6,Araújo Lucas Dutra7,Pasini Maicon8

Affiliation:

1. CT Candotti, PhD, is Professor, Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil

2. JF Loss, PhD, is Professor, Escola de Educação Fîsica, Universidade Federal do Rio Grande do Sul, Rua Fernando Osório, 1887, CEP 91720-330, Porto Alegre, Brazil

3. AMS Pressi, MSc, is Research Assistant, Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos

4. FAS Castro, PhD, is Professor, Escola de Educação Fîsica, Universidade Federal do Rio Grande do Sul

5. M La Torre is Physical Education Teacher and an MSc student in the Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos

6. MO Melo is Physical Education Teacher and an MSc student in the Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos

7. LD Araújo is Physical Education Teacher and an MSc student in the Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos

8. M Pasini is Physical Education Teacher and an MSc student in the Curso de Educação Fîsica, Universidade do Vale do Rio dos Sinos

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

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