Standardized activities of daily living in presence of sub-acute low-back pain: A pilot study

Svendsen, Jacob Handberg; Svarrer, Heine Michael; Læssøe, Uffe; Vollenbroek-Hutten, Miriam Marie Rosé; Madeleine, Pascal

doi:10.1016/j.jelekin.2012.08.006

Cited by 19 publications

(17 citation statements)

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“…The increased of the EMG complexity is likely related to the muscle redundancy because a motor task can be performed in different ways, i.e., several combinations of muscle contraction can result in the same force or torque output (Prilutsky & Zatsiorsky, 2002). Increased complexity of muscle activity was also found in acute low back pain patients during trunk flexion (Svendsen et al, 2013), and it has been suggested that increased complexity may indicate increased dynamic control of the muscle activity in order to accomplish the required task (Madeleine et al, 2011). Previous studies have highlighted the contribution of auxiliary muscles to the force output (Flanders & Soechting, 1990;Poortvliet, Tucker, & Hodges, 2013;Rudroff, Barry, Stone, Barry, & Enoka, 2007).…”

Section: Muscle Activity and Muscle Adaptation To Painmentioning

confidence: 97%

“…However, recent reports highlighted the relevance of quantifying the structure of the variability (sample entropy) of the motor output during pain (Madeleine, Mathiassen, & Arendt-Nielsen, 2008;Madeleine, Nielsen, & Arendt-Nielsen, 2011;Mathiassen, 2006). In line, low-back pain patients have shown higher complexity of the abdominal oblique muscle activity during trunk flexion (Kaufman, Zurcher, & Sung, 2007;Svendsen, Svarrer, Laessoe, Vollenbroek-Hutten, & Madeleine, 2013). Therefore, analyzing the complexity of the muscle activity could reveal changes not found by linear approaches during pain.…”

Section: Introductionmentioning

confidence: 99%

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Modulation of motor variability related to experimental muscle pain during elbow-flexion contractions

Mista

Christensen

Graven‐Nielsen

2015

Human Movement Science

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Section: Muscle Activity and Muscle Adaptation To Painmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Modulation of motor variability related to experimental muscle pain during elbow-flexion contractions

Mista

Christensen

Graven‐Nielsen

2015

Human Movement Science

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“…Collecting data outside of the clinic (i.e. in real-life conditions) is of great interest in rehabilitation medicine [61, 62]. Future studies should be focused on evaluating the use of the algorithms herein presented to analyze data collected in unconstrained conditions outside of the clinic.…”

Section: Discussionmentioning

confidence: 99%

Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation

Golabchi

Sapienza

Severini

et al. 2019

BMC Musculoskelet Disord

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BackgroundSurface electromyographic (EMG) recordings collected during the performance of functional evaluations allow clinicians to assess aberrant patterns of muscle activity associated with musculoskeletal disorders. This assessment is typically achieved via visual inspection of the surface EMG data. This approach is time-consuming and leads to accurate results only when the assessment is carried out by an EMG expert.MethodsA set of algorithms was developed to automatically evaluate aberrant patterns of muscle activity. EMG recordings collected during the performance of functional evaluations in 62 subjects (22 to 61 years old) were used to develop and characterize the algorithms. Clinical scores were generated via visual inspection by an EMG expert using an ordinal scale capturing the severity of aberrant patterns of muscle activity. The algorithms were used in a case study (i.e. the evaluation of a subject with persistent back pain following instrumented lumbar fusion who underwent lumbar hardware removal) to assess the clinical suitability of the proposed technique.ResultsThe EMG-based algorithms produced accurate estimates of the clinical scores. Results were primarily obtained using a linear regression approach. However, when the results were not satisfactory, a regression implementation of a Random Forest was utilized, and the results compared with those obtained using a linear regression approach. The root-mean-square error of the clinical score estimates produced by the algorithms was a small fraction of the ordinal scale used to rate the severity of the aberrant patterns of muscle activity. Regression coefficients and associated 95% confidence intervals showed that the EMG-based estimates fit well the clinical scores generated by the EMG expert. When applied to the clinical case study, the algorithms appeared to capture the characteristics of the muscle activity patterns associated with persistent back pain following instrumented lumbar fusion.ConclusionsThe proposed approach relies on EMG-based measures to generate accurate estimates of the severity of aberrant patterns of muscle activity. The results obtained in the case study suggest that the proposed technique is suitable to derive clinically-relevant information from EMG data collected during functional evaluations.

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“…This association might be explained by affected trunk neuromuscular control in people suffering from LBP (Descarreaux et al, 2007, Lamoth et al, 2006, Silfies et al, 2009, Svendsen et al, 2013.…”

Section: Introductionmentioning

confidence: 99%

The effect of muscle fatigue and low back pain on lumbar movement variability and complexity

Bauer

Rast

Ernst

et al. 2017

Journal of Electromyography and Kinesiology

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Standardized activities of daily living in presence of sub-acute low-back pain: A pilot study

Cited by 19 publications

References 48 publications

Modulation of motor variability related to experimental muscle pain during elbow-flexion contractions

Modulation of motor variability related to experimental muscle pain during elbow-flexion contractions

Assessing aberrant muscle activity patterns via the analysis of surface EMG data collected during a functional evaluation

The effect of muscle fatigue and low back pain on lumbar movement variability and complexity

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