Literature DB >> 21445809

Estimation of muscle fatigue using surface electromyography and near-infrared spectroscopy.

Joachim Taelman1, Joke Vanderhaegen, Mieke Robijns, Gunnar Naulaers, Arthur Spaepen, Sabine Van Huffel.   

Abstract

This study looks at various parameters, derived from surface electromyography (sEMG) and Near Infrared Spectroscopy (NIRS) and their relationship in muscle fatigue during a static elbow flexion until exhaustion as well as during a semidynamic exercise.We found a linear increasing trend for a corrected amplitude parameter and a linear decreasing slope for the frequency content of the sEMG signal. The tissue oxygenation index (TOI) extracted from NIRS recordings showed a four-phase response for all the subjects. A strong correlation between frequency content of the sEMG signal and TOI was established. We can conclude that both sEMG and NIRS give complementary information concerning muscle fatigue.

Entities:  

Mesh：

Year:  2011        PMID： 21445809     DOI： 10.1007/978-1-4419-7756-4_48

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN： 0065-2598            Impact factor:   2.622


  6 in total

1.  Effects of load magnitude on muscular activity and tissue oxygenation during repeated elbow flexions until failure.

Authors:  Stéphane Baudry; Sébastien Sarrazin; Jacques Duchateau
Journal:  Eur J Appl Physiol       Date:  2013-03-08       Impact factor: 3.078

2.  Rates of performance loss and neuromuscular activity in men and women during cycling: evidence for a common metabolic basis of muscle fatigue.

Authors:  Christopher W Sundberg; Sandra K Hunter; Matthew W Bundle
Journal:  J Appl Physiol (1985)       Date:  2016-11-17

3.  Effect of acute hypoxia on inspiratory muscle oxygenation during incremental inspiratory loading in healthy adults.

Authors:  Nada Basoudan; Babak Shadgan; Jordan A Guenette; Jeremy Road; W Darlene Reid
Journal:  Eur J Appl Physiol       Date:  2016-02-18       Impact factor: 3.078

4.  Cerebral and Muscle Tissue Oxygenation During Incremental Cycling in Male Adolescents Measured by Time-Resolved Near-Infrared Spectroscopy.

Authors:  Goutham Ganesan; Szu-Yun Leu; Albert Cerussi; Bruce Tromberg; Dan M Cooper; Pietro Galassetti
Journal:  Pediatr Exerc Sci       Date:  2015-10-09       Impact factor: 2.333

Review 5.  A review of non-invasive techniques to detect and predict localised muscle fatigue.

Authors:  Mohamed R Al-Mulla; Francisco Sepulveda; Martin Colley
Journal:  Sensors (Basel)       Date:  2011-03-24       Impact factor: 3.576

6.  Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor.

Authors:  G Ramos; J R Vaz; G V Mendonça; P Pezarat-Correia; J Rodrigues; M Alfaras; H Gamboa
Journal:  J Healthc Eng       Date:  2020-01-07       Impact factor: 2.682
  6 in total

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