Differentiating temporal electromyographic waveforms between those with chronic low back pain and healthy controls

Objectives. Temporal activation patterns from abdominal and lumbar muscles were compared between healthy control subjects and those with chronic low back pain. Study design. A cross-sectional comparative study. Background. Synergist and antagonist coactivity has been considered an important neuromus...

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Bibliographic Details
Published in:Clinical biomechanics (Bristol) 2002-11, Vol.17 (9), p.621-629
Main Authors: Hubley-Kozey, C.L., Vezina, M.J.
Format: Article
Language:English
Subjects:
Abdominal Muscles - physiology
Abdominal Muscles - physiopathology
Adult
Algorithms
Back - physiology
Back - physiopathology
Chronic Disease
Coactivation
Electromyography
Electromyography - methods
Electromyography - statistics & numerical data
Exercise Test
Humans
Low Back Pain - diagnosis
Low Back Pain - physiopathology
Lumbosacral Region - physiology
Lumbosacral Region - physiopathology
Male
Middle Aged
Muscle, Skeletal - physiopathology
Pattern recognition
Pattern Recognition, Automated
Predictive Value of Tests
Principal Component Analysis
Reproducibility of Results
Statistics as Topic
Synergists
Temporal patterns
Trunk muscles
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Summary:Objectives. Temporal activation patterns from abdominal and lumbar muscles were compared between healthy control subjects and those with chronic low back pain. Study design. A cross-sectional comparative study. Background. Synergist and antagonist coactivity has been considered an important neuromuscular control strategy to maintain spinal stability. Differences in onset times and amplitudes have been reported from trunk muscle EMG recordings between healthy subjects and those with low back pain;however, evaluating temporal EMG waveforms should demonstrate whether differences exist in the ability of those with and those without low back pain to respond to changing perturbations. Methods. The Karhunen–Loève expansion was applied to the ensemble-average EMG profiles recorded from four abdominal and three trunk extensor muscle sites while subjects performed a leg-lifting task aimed at challenging lumbar spine stability. The principal patterns were derived and the weighting coefficients for each pattern were the main dependent variables in a series of two-factor (group and muscle) mixed anova models. Results. Three principal patterns explained 96% of the variance in the temporal EMG profiles. The anovas revealed statistically significant group and muscle main effects ( P
ISSN:0268-0033
1879-1271
DOI:10.1016/S0268-0033(02)00103-1