Effects of chronic neck–shoulder pain on normalized mutual information analysis of surface electromyography during functional tasks

Madeleine, Pascal; Xie, Yanfei; Szeto, Grace P. Y.; Samani, Afshin

doi:10.1016/j.clinph.2016.06.015

Cited by 20 publications

(15 citation statements)

References 42 publications

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“…In short, it is demonstrated that the the sEMG generated on CE and UT have significant differences between CS suffer and the healthy which is consist with the previous research [18][19][20][21][22][23][24] .…”

Section: Analysis Of Learned Knowledge About Cs the Easiai Achieved Hsupporting

confidence: 86%

“…And when the muscles are activated in the activity Motor Unit Action Potential Trains(MUAPTs) are generated by motor units, superimposed on the surface of the skin and form a non-stationary week signal which can be acquired by sEMG device and generate electromyography. The relevant works [18][19][20][21][22][23][24] demonstrated that there are differences in sEMG signals between population with cervical musculoskeletal disorders or neck pain and the healthy. Thus, it provides an chance that we can explore the relationship between muscle activity and CS with a a non-invasive means that analyzing the sEMG signals between CS sufferer and healthy.…”

Section: Cervical Spondylosis(cs) One Of the Most Common Orthopedic mentioning

confidence: 99%

“…Most of them depend on expensive medical instruments in hospital to directly observe the physical changes in the spine and ancillary structures. However, the physical changes above can cause chronic dysfunction as well as pain 17 , leading to anomalous pattern of muscle activity [18][19][20][21][22][23][24] . And when the muscles are activated in the activity, the Motor Unit Action Potential Trains(MUAPTs) are generated by motor units, superimposed on the surface of the skin and form a non-stationary week signal which can be acquired by the sEMG device and generate electromyography.…”

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confidence: 99%

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A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

Wang

Huang

et al. 2018

Preprint

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Section: Analysis Of Learned Knowledge About Cs the Easiai Achieved Hsupporting

confidence: 86%

Section: Cervical Spondylosis(cs) One Of the Most Common Orthopedic mentioning

confidence: 99%

mentioning

confidence: 99%

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A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

Wang

Huang

et al. 2018

Preprint

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“…In contrast to cross‐correlation reflecting only linear interactions, mutual information captures both linear and nonlinear relations between time series based on their statistical dependencies. In motor disorder studies, MI has been applied to assess functional connectivity between muscles (Madeleine et al ., , ). Similar to cross‐correlation/coherence, MI is a symmetric measure which cannot indicate the direction of information flow.…”

Section: Assessing the Nonlinear Corticomuscular Interactionmentioning

confidence: 99%

Unveiling neural coupling within the sensorimotor system: directionality and nonlinearity

Yang

Dewald

Helm

et al. 2017

Eur J of Neuroscience

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Neural coupling between the central nervous system and the periphery is essential for the neural control of movement. Corticomuscular coherence is a popular linear technique to assess synchronised oscillatory activity in the sensorimotor system. This oscillatory coupling originates from ascending somatosensory feedback and descending motor commands. However, corticomuscular coherence cannot separate this bidirectionality. Furthermore, the sensorimotor system is nonlinear, resulting in cross-frequency coupling. Cross-frequency oscillations cannot be assessed nor exploited by linear measures. Here, we emphasise the need of novel coupling measures, which provide directionality and acknowledge nonlinearity, to unveil neural coupling in the sensorimotor system. We highlight recent advances in the field and argue that assessing directionality and nonlinearity of neural coupling will break new ground in the study of the control of movement in healthy and neurologically impaired individuals.

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“…Functional connectivity of pairs of all the neck/shoulder muscles recorded from Cervical Erector Spinae, Upper, Middle, and Lower Trapezius, and Anterior Deltoid was calculated as the normalized mutual information (NMI; Johansen et al, 2013;Madeleine et al, 2011Madeleine et al, , 2016. NMI was calculated between pairs of filtered EMG series (i.e., band-pass filtered data) over 30 s lengths.…”

Section: Data Processing and Analysismentioning

confidence: 99%

The Effect of Cycling While Typing on Patterns of Upper Body Muscle Activation

2021

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Objective To investigate the effect of one’s sex and pedaling intensity on upper body muscle activation patterns during typing while cycling. Background Females are at a higher risk for computer work-related musculoskeletal disorders, and mobile workstations have been suggested to induce healthier muscular patterns compared with sitting. However, the neuromuscular characteristics of performing computer work in a cycling workstation have not been investigated. Method Twenty-two participants (10 females) completed a 60-min computer typing task while pedaling on a cycle ergometer at two different intensities (25%, 4% heart rate reserve). Surface electromyography (EMG) was recorded from seven muscles of the upper body. Effects of time, sex, and intensity were assessed for muscle activation (RMS), activation variability (CV), and normalized mutual information (NMI) via generalized estimating equations. Results With time, neck/shoulder CV increased in males during higher pedaling intensity, whereas in females it decreased during lower intensity. In females, RMS of neck/shoulder and NMI of neck/shoulder muscle pairs were lower, whereas forearm RMS was 34.2% higher with higher intensity cycling compared with lower intensity. Lower back RMS decreased 28.3% in the initial half of the task in females, but in males it increased 14.4% in the later half. Conclusion and application Cycling workstation showed a sex- and intensity-specific EMG response. These differing responses should be considered when implementing the use of cycling workstation and may be important for preventing/managing sex-specific muscle fatigue and musculoskeletal disorders.

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Effects of chronic neck–shoulder pain on normalized mutual information analysis of surface electromyography during functional tasks

Cited by 20 publications

References 42 publications

A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning

Unveiling neural coupling within the sensorimotor system: directionality and nonlinearity

The Effect of Cycling While Typing on Patterns of Upper Body Muscle Activation

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