Age-Related Differences in Complexity During Handgrip Control Using Multiscale Entropy

Wu, Yong‐Shi; Chen, Ying; Ye, Yu; Yan, Tiebin; Song, Rong

doi:10.1109/access.2018.2861708

Cited by 7 publications

(2 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Wu et al have proposed the Composite MSE to decrease the high variances on large scales [14]; Wu et al have proposed Modified MSE to improve precision and avoid undefined entropy values with short time series by a moving average process [15]; Shi et al have extended the MSE by using higher moments (variance and skewness) in the coarsegraining process, to discern the slight differences between complex oscillations more easily [16]. The MSE and its successive methods have become prevailing methods to quantify the complexity of signals in different research fields, including biomedical [13,[17][18][19][20][21], seismic [22], traffic [23], and financial time series [24].…”

Section: Introductionmentioning

confidence: 99%

Power-Law Exponent Modulated Multiscale Entropy: A Complexity Measure Applied to Physiologic Time Series

et al. 2020

View full text Add to dashboard Cite

Quantifying the complexity of physiologic time series has long attracted interest from researchers. The multiscale entropy (MSE) algorithm is a prevailing method to quantify the complexity of signals in a variety of research fields. However, the MSE method assigns increased complexity to the mixed signal of a physiologic time series added with white noise, although the mixed signal should become less complex due to the broken correlation. In addition, the MSE method needs users to visually examine its scale dependence (shape) to better characterize the complexity of a physiologic process, which is sometimes not feasible. In this paper, we proposed a new method, namely the power-law exponent modulated multiscale entropy (pMSE), as a complexity measure for physiologic time series. We tested the pMSE method on simulated data and real-world physiologic interbeat interval time series and demonstrated that it could solve the above two difficulties of the MSE method. We expect that the proposed pMSE method or its future variants could serve as a useful complement to the MSE method for the complexity analysis of physiologic time series. INDEX TERMS Time series, multiscale entropy, complexity, power-law, self-similarity

show abstract

Section: Introductionmentioning

confidence: 99%

Power-Law Exponent Modulated Multiscale Entropy: A Complexity Measure Applied to Physiologic Time Series

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In addition, considering that the EMG signals are complex, different types of entropy indexes have been developed to capture its non-linear features. Compared with the approximate entropy (ApEn) and sample entropy (SampEn), fuzzy entropy (FuzzyEn) has advantages in robustness and data length dependence, which could characterize the regularity of the neuromuscular system more reasonably in noisy and shorter signals ( Chen et al, 2007 ; Wu et al, 2018 ; Tian and Song, 2019 ). As a complexity indicator, a small entropy value is associated with small complexity and great regularity.…”

Section: Introductionmentioning

confidence: 99%

Increased Muscle Activity Accompanying With Decreased Complexity as Spasticity Appears: High-Density EMG-Based Case Studies on Stroke Patients

Xie

Leng

Zhi

et al. 2020

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

Spasticity is a major contributor to pain, disabilities and many secondary complications after stroke. Investigating the effect of spasticity on neuromuscular function in stroke patients may facilitate the development of its clinical treatment, while the underlying mechanism of spasticity still remains unclear. The aim of this study is to explore the difference in the neuromuscular response to passive stretch between healthy subjects and stroke patients with spasticity. Five healthy subjects and three stroke patients with spastic elbow flexor were recruited to complete the passive stretch at four angular velocities (10°/s, 60°/s, 120°/s, and 180°/s) performed by an isokinetic dynamometer. Meanwhile, the 64-channel electromyography (EMG) signals from biceps brachii muscle were recorded. The root mean square (RMS) and fuzzy entropy (FuzzyEn) of EMG recordings of each channel were calculated, and the relationship between the average value of RMS and FuzzyEn over 64-channel was examined. The two groups showed similar performance from results that RMS increased and FuzzyEn decreased with the increment of stretch velocity, and the RMS was negatively correlated with FuzzyEn. The difference is that stroke patients showed higher RMS and lower FuzzyEn during quick stretch than the healthy group. Furthermore, compared with the healthy group, distinct variations of spatial distribution within the spastic muscle were found in the EMG activity of stroke patients. These results suggested that a large number of motor units were recruited synchronously in the presence of spasticity, and this recruitment pattern was non-uniform in the whole muscle. Using a combination of RMS and FuzzyEn calculated from high-density EMG (HD-EMG) recordings can provide an innovative insight into the physiological mechanism underlying spasticity, and FuzzyEn could potentially be used as a new indicator for spasticity, which would be beneficial to clinical intervention and further research on spasticity.

show abstract

Modified multiscale transfer entropy analysis of intra- and inter-couplings of cardio-respiratory systems during meditation

Tian

Yu²,

Liu³

et al. 2023

Biomedical Signal Processing and Control

View full text Add to dashboard Cite

Age-Related Differences in Complexity During Handgrip Control Using Multiscale Entropy

Cited by 7 publications

References 60 publications

Power-Law Exponent Modulated Multiscale Entropy: A Complexity Measure Applied to Physiologic Time Series

Power-Law Exponent Modulated Multiscale Entropy: A Complexity Measure Applied to Physiologic Time Series

Increased Muscle Activity Accompanying With Decreased Complexity as Spasticity Appears: High-Density EMG-Based Case Studies on Stroke Patients

Modified multiscale transfer entropy analysis of intra- and inter-couplings of cardio-respiratory systems during meditation

Contact Info

Product

Resources

About