Abstract

Lower back pain is a common symptom potentially associated with skeletal muscle dysfunction. The purpose of this study was to evaluate endurance in the lower back muscles of healthy participants using accelerometer-based mechanomyography. Methods: Young healthy subjects (N = 7) were tested. Surface electrodes and a tri-axial accelerometer were placed over the erector spinae muscle along the T11–L1 Vertebrae. Stimulation was for 3 min each at 2, 4, and 6 Hz, and changes in acceleration were used to calculate an endurance index (EI). Reproducibility of the endurance index measurements was tested on two separate days. Wrist flexor and vastus lateralis muscles were tested for comparison. Near Infrared Spectroscopy (NIRS) was used to measure muscle oxygen levels (O2Hb) (N = 5). EI was 70.3 + 13.4, 32.6 + 8.4, and 19.2 + 6.2% for 2, 4, 6 Hz, respectively. The coefficients of variation were 9.8, 13.9, and 20.3% for 2, 4, 6 Hz, respectively. EI values were lower in the erector spinae muscles compared to the arm and the leg (p < 0.05). O2Hb values were 86.4 + 10.9% at rest and were 77.2 + 15.5, 84.3 + 14.1, and 84.1 + 18.9% for 2, 4, 6 Hz, respectively (p > 0.05, all comparisons). An endurance index can be obtained from the lower back erectors muscles that is reproducible and not influenced by voluntary effort or muscle oxygen levels.

Highlights

  • Chronic lower back pain is a significant medical problem which affects 100 million adults [1]

  • This study evaluated the reproducibility of the endurance index measured by accelerometer-based mechanomyography (aMMG) as a method of assessing muscle fatigue in the erector spinae muscles of the lower back

  • There was a main effect of the muscle on the endurance index (EI) values (F = 6.64, p < 0.001)

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Summary

Introduction

Chronic lower back pain is a significant medical problem which affects 100 million adults [1]. Fatigue of the lower back muscles has been evaluated using performance tests [3], changes in muscle electromyography signals [4,5], and by other innovative approaches [6,7]. All of these previous approaches are considered to have methodological limitations [8]. These limitations include requiring maximal muscle activation in an expensive ergometer and reliance on changes in EMG signals to reflect muscle fatigue

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