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Characterization of surface electromyography signals of biceps brachii muscle in fatigue using symbolic motif features.

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TLDR
An attempt is made to develop signal processing methods to understand the dynamics of the muscle’s electrical properties and it is observed that at the motif length of 13 all the extracted features are significant, which indicates that the signal has lower complexity.
Abstract
Exercise-induced muscle damage is a condition which results in the loss of muscle function due to overexertion. Muscle fatigue is a precursor of this phenomenon. The characterization of muscle fati...

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Entropy, Transinformation and Word Distribution of Information-Carrying Sequences

TL;DR: This work investigates correlations in information carriers, e.g. texts and pieces of music, which are represented by strings of letters, and calculates the word distribution, the higher order entropy and the transinformation.
Journal ArticleDOI

Skeletal Muscle Fatigue State Evaluation with Ultrasound Image Entropy

TL;DR: The USIE could be a new method for the evaluation of skeletal muscle fatigue state through changes in the ultrasound image entropy (USIE) during the fatigue process.
Journal ArticleDOI

Analysis of induced isometric fatiguing contractions in biceps brachii muscles using myotonometry and surface electromyographic measurements

TL;DR: Muscle viscoelasticity is demonstrated to influence the progression of fatigue, although the difference in motor control due to handedness is also found to be an important factor.
Journal ArticleDOI

Influence of Viscoelasticity on Dynamic Fatiguing Behavior of Muscle Using Myotonometry and Surface Electromyography Measurements

TL;DR: In this article , the influence of tissue viscoelasticity on the fatiguing behavior of skeletal muscle was analyzed using myotonometry and surface electromyography (sEMG) signals from the biceps brachii muscle.

Characterizing the Dynamics of Surface Electromyography Signals in Muscle Fatigue Through Visibility Motif Networks

TL;DR: In this article , the applicability of visibility graph motif features for the real-time monitoring of muscle fatigue is explored, and the network entropy features are able to characterize the changes in signal dynamics in nonfatigue and fatigue conditions.
References
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Journal ArticleDOI

Permutation entropy: a natural complexity measure for time series.

TL;DR: The method introduces complexity parameters for time series based on comparison of neighboring values and shows that its complexity behaves similar to Lyapunov exponents, and is particularly useful in the presence of dynamical or observational noise.
BookDOI

Electromyography. Physiology, engineering and non invasive applications

TL;DR: This work focuses on the development of models for Surface EMG Signal Generation based on the principles of Structure--Based SEMG models, which were developed in the context of motor control and Muscle Contraction.
Journal ArticleDOI

Inferring statistical complexity.

TL;DR: A technique is presented that directly reconstructs minimal equations of motion from the recursive structure of measurement sequences, demonstrating a form of superuniversality that refers only to the entropy and complexity of a data stream.
Journal ArticleDOI

Surface EMG based muscle fatigue evaluation in biomechanics

TL;DR: Time domain, frequency domain, time-frequency and time-scale representations, and other methods such as fractal analysis and recurrence quantification analysis are described succinctly and are illustrated with their biomechanical applications, research or clinical alike.
Journal ArticleDOI

Distinguishing noise from chaos.

TL;DR: A representation space is introduced, to be called the complexity-entropy causality plane, which contains suitable functionals of the pertinent probability distribution, namely, the entropy of the system and an appropriate statistical complexity measure, respectively.
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