Literature DB >> 28199218

Surface EMG and muscle fatigue: multi-channel approaches to the study of myoelectric manifestations of muscle fatigue.

Gazzoni Marco, Botter Alberto, Vieira Taian.   

Abstract

In a broad view, fatigue is used to indicate a degree of weariness. On a muscular level, fatigue posits the reduced capacity of muscle fibres to produce force, even in the presence of motor neuron excitation via either spinal mechanisms or electric pulses applied externally. Prior to decreased force, when sustaining physically demanding tasks, alterations in the muscle electrical properties take place. These alterations, termed myoelectric manifestation of fatigue, can be assessed non-invasively with a pair of surface electrodes positioned appropriately on the target muscle; traditional approach. A relatively more recent approach consists of the use of multiple electrodes. This multi-channel approach provides access to a set of physiologically relevant variables on the global muscle level or on the level of single motor units, opening new fronts for the study of muscle fatigue; it allows for: (i) a more precise quantification of the propagation velocity, a physiological variable of marked interest to the study of fatigue; (ii) the assessment of regional, myoelectric manifestations of fatigue; (iii) the analysis of single motor units, with the possibility to obtain information about motor unit control and fibre membrane changes. This review provides a methodological account on the multi-channel approach for the study of myoelectric manifestation of fatigue and on the experimental conditions to which it applies, as well as examples of their current applications.

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Year:  2017        PMID: 28199218     DOI: 10.1088/1361-6579/aa60b9

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  10 in total

1.  Deep Learning-Based Surface Nerve Electromyography Data of E-Health Electroacupuncture in Treatment of Peripheral Facial Paralysis.

Authors:  Pengdong Zhu; Hui Wang; Lumin Zhang; Xuan Jiang
Journal:  Comput Math Methods Med       Date:  2022-05-31       Impact factor: 2.809

2.  Effects of a Single Dose of a Creatine-Based Multi-Ingredient Pre-workout Supplement Compared to Creatine Alone on Performance Fatigability After Resistance Exercise: A Double-Blind Crossover Design Study.

Authors:  Massimo Negro; Giuseppe Cerullo; Simone Perna; Matteo Beretta-Piccoli; Mariangela Rondanelli; Giorgio Liguori; Hellas Cena; Stuart M Phillips; Corrado Cescon; Giuseppe D'Antona
Journal:  Front Nutr       Date:  2022-06-21

3.  Estimation of Handgrip Force from SEMG Based on Wavelet Scale Selection.

Authors:  Kai Wang; Xianmin Zhang; Jun Ota; Yanjiang Huang
Journal:  Sensors (Basel)       Date:  2018-02-24       Impact factor: 3.576

4.  Relationship between Isometric Muscle Force and Fractal Dimension of Surface Electromyogram.

Authors:  Matteo Beretta-Piccoli; Gennaro Boccia; Tessa Ponti; Ron Clijsen; Marco Barbero; Corrado Cescon
Journal:  Biomed Res Int       Date:  2018-03-15       Impact factor: 3.411

5.  Scalene and sternocleidomastoid activation during normoxic and hypoxic incremental inspiratory loading.

Authors:  Nada Basoudan; Antenor Rodrigues; Alessio Gallina; Jayne Garland; Jordan A Guenette; Babak Shadgan; Jeremy Road; W Darlene Reid
Journal:  Physiol Rep       Date:  2020-07

6.  Overuse-Related Injuries of the Musculoskeletal System: Systematic Review and Quantitative Synthesis of Injuries, Locations, Risk Factors and Assessment Techniques.

Authors:  Amaranta Orejel Bustos; Valeria Belluscio; Valentina Camomilla; Leandro Lucangeli; Francesco Rizzo; Tommaso Sciarra; Francesco Martelli; Claudia Giacomozzi
Journal:  Sensors (Basel)       Date:  2021-04-01       Impact factor: 3.576

7.  Exhausting repetitive piano tasks lead to local forearm manifestation of muscle fatigue and negatively affect musical parameters.

Authors:  Etienne Goubault; Felipe Verdugo; Justine Pelletier; Caroline Traube; Mickaël Begon; Fabien Dal Maso
Journal:  Sci Rep       Date:  2021-04-14       Impact factor: 4.379

8.  Muscle Fatigue Revisited - Insights From Optically Pumped Magnetometers.

Authors:  Davide Sometti; Lorenzo Semeia; Sangyeob Baek; Hui Chen; Giulia Righetti; Juergen Dax; Cornelius Kronlage; Milena Kirchgässner; Alyssa Romano; Johanna Heilos; Deborah Staber; Julia Oppold; Thomas Middelmann; Christoph Braun; Philip Broser; Justus Marquetand
Journal:  Front Physiol       Date:  2021-12-17       Impact factor: 4.566

Review 9.  Application of Surface Electromyography in Exercise Fatigue: A Review.

Authors:  Jiaqi Sun; Guangda Liu; Yubing Sun; Kai Lin; Zijian Zhou; Jing Cai
Journal:  Front Syst Neurosci       Date:  2022-08-11

Review 10.  Real-Time EMG Based Pattern Recognition Control for Hand Prostheses: A Review on Existing Methods, Challenges and Future Implementation.

Authors:  Nawadita Parajuli; Neethu Sreenivasan; Paolo Bifulco; Mario Cesarelli; Sergio Savino; Vincenzo Niola; Daniele Esposito; Tara J Hamilton; Ganesh R Naik; Upul Gunawardana; Gaetano D Gargiulo
Journal:  Sensors (Basel)       Date:  2019-10-22       Impact factor: 3.576

  10 in total

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