Comparison of spectral and entropic measures for surface electromyography time series: a pilot study.

@article{Sung2007ComparisonOS,
  title={Comparison of spectral and entropic measures for surface electromyography time series: a pilot study.},
  author={Paul S. Sung and Ulrich Zurcher and Miron Kaufman},
  journal={Journal of rehabilitation research and development},
  year={2007},
  volume={44 4},
  pages={
          599-609
        }
}
In a previous study, we reported that the mean square displacement calculated from the surface electromyography (sEMG) signal of low back muscles exhibits a plateaulike behavior for intermediate times 20 ms < t < 400 ms. This property indicates the existence of correlations in the signal for times much longer than the inverse of the median frequency (MF), which is calculated from the power spectrum 1/ = 1/(100 Hz) = 10 ms, where is the MF. This result suggests the use of methods from nonlinear… 

Figures and Tables from this paper

Reliability difference between spectral and entropic measures of erector spinae muscle fatigability.
  • P. Sung, U. Zurcher, Miron Kaufman
  • Engineering
    Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology
  • 2010
Fatiguing Effects on the Multi-Scale Entropy of Surface Electromyography in Children with Cerebral Palsy
TLDR
The findings confirmed that the decrease of muscle fiber conduction velocity (MFCV) and the increase of motor unit synchronization may be two possible factors induced by muscle fatigue, and indicated that there appear to be some neuromuscular changes that occur as a result of cerebral palsy.
Spectral and entropy changes for back muscle fatigability following spinal stabilization exercises.
TLDR
The Shannon entropy of the EMG signals might be a useful and valuable clinical tool to measure pain following intervention and is investigated based on power spectrum analysis in chronic LBP subjects after 4 weeks of spinal stabilization exercises.
THE COMPARISON BETWEEN SPECTRAL AND ENTROPIC MEASURES FOLLOWING FATIGUE IN ERECTOR SPINAE MUSCLES
TLDR
It seems that the changes of ENTR in muscle activities have the ability to measure muscular fatigue and is more sensitive in comparison to MF.
Muscle fatigue and contraction intensity modulates the complexity of surface electromyography.
Gender differences in spectral and entropic measures of erector spinae muscle fatigue.
TLDR
Results indicate that the Shannon entropy measure differentiates between genders, and further studies are needed to evaluate the effectiveness of using nonlinear analysis as a measurement tool.
Differential Changes with Age in Multiscale Entropy of Electromyography Signals from Leg Muscles during Treadmill Walking
TLDR
The decrease in complexity with aging in the timescales studied was limited to proximal muscles, particularly VL, and the increase in GA may be driven by other factors.
Nonlinear Analysis of Surface Electromyography
TLDR
The EMG range can be utilized in many clinical and biomechanical applications as a diagnostics tool for identifying neuromuscular diseases, assessing low back pain (LBP), kinesiology, and disorders of motor control.
A comparison of pain level and entropy changes following core stability exercise intervention
  • T. Lee, Yoon-Hyuk Kim, P. Sung
  • Psychology
    Medical science monitor : international medical journal of experimental and clinical research
  • 2011
TLDR
Although the change in pain level was not different between groups, the Shannon entropy measure more sensitively differentiated the exercise intervention than did MF, suggesting that complexity is related to muscle fatigue, which corresponds to the values of entropy between groups.
...
...

References

SHOWING 1-10 OF 39 REFERENCES
Nonlinear analysis of electromyography time series as a diagnostic tool for low back pain.
TLDR
The characterization of the nonlinear time series in this case study provides a consistent measure of back muscle activities and reveals the presence of long-range, power-law correlations in the EMG signal.
The use of surface EMG power spectral analysis in the evaluation of back muscle function.
TLDR
Greater erector spinae muscle fatigability was associated with both the existence of, and the risk of developing, serious low back pain and possible mechanisms for the association have been advanced.
An EMG fractal indicator having different sensitivities to changes in force and muscle fatigue during voluntary static muscle contractions.
The value of electromyography of the lumbar paraspinal muscles in discriminating between chronic-low-back-pain sufferers and normal subjects
TLDR
Half-width, age and maximum voluntary contraction were shown to be independent predictors of back pain classification and half-width classified the subjects with a sensitivity and specificity of 0.65 and 0.75.
Modeling of surface myoelectric signals--Part II: Model-based signal interpretation.
Experimental electromyogram (EMG) data from the human biceps brachii were simulated using the model described in [10] of this work. A multichannel linear electrode array, spanning the length of the
Modeling of surface myoelectric signals. II. Model-based signal interpretation
TLDR
It is concluded that surface EMG detection using an electrode array, when combined with a model of signal propagation, provides a useful method for understanding the physiological and anatomical determinants of EMG waveform characteristics and the model provides a way for the interpretation of fatigue plots.
Fractal noises and motions in time series of presympathetic and sympathetic neural activities.
TLDR
Results demonstrate smoothing of fractal time series in a feedforward direction from medullary presympathetic neurons to postganglionic sympathetic neurons.
Classification of back muscle impairment based on the surface electromyographic signal.
TLDR
A series of studies are described that have been useful in developing an automated procedure for identifying back muscle impairment by comparing individual test results to a normative database and it is found that the functions can distinguish individuals with and without LBP with an accuracy of approximately 90%.
...
...