Estimation of Muscle Fatigue Using Surface Electromyography and Near-Infrared Spectroscopy

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 correct...

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Published inAdvances in experimental medicine and biology Vol. 701; pp. 353 - 359
Main Authors Taelman, Joachim, Vanderhaegen, Joke, Robijns, Mieke, Naulaers, Gunnar, Spaepen, Arthur, Van Huffel, Sabine
Format Book Chapter Journal Article
LanguageEnglish
Published Boston, MA Springer US 2011
SeriesAdvances in Experimental Medicine and Biology
Subjects
Adult
Biceps Brachii
Electromyography
Female
Humans
Male
Maximal Voluntary Contraction
Muscle Fatigue
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Oxygen Consumption
Root Mean Square
Spectroscopy, Near-Infrared
Surface Electromyography
Young Adult
Online AccessGet full text
ISBN9781441977557
1441977554
ISSN0065-2598
DOI10.1007/978-1-4419-7756-4_48

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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.
AbstractList 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.
Author Robijns, Mieke
Vanderhaegen, Joke
Taelman, Joachim
Naulaers, Gunnar
Spaepen, Arthur
Van Huffel, Sabine
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/21445809$$D View this record in MEDLINE/PubMed
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Bruley, Duane F.
Puchowicz, Michelle A.
Harrison, David K
LaManna, Joseph C.
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Snippet This study looks at various parameters, derived from surface electromyography (sEMG) and Near Infrared Spectroscopy (NIRS) and their relationship in muscle...
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StartPage 353
SubjectTerms Adult
Biceps Brachii
Electromyography
Female
Humans
Male
Maximal Voluntary Contraction
Muscle Fatigue
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Oxygen Consumption
Root Mean Square
Spectroscopy, Near-Infrared
Surface Electromyography
Young Adult
Title Estimation of Muscle Fatigue Using Surface Electromyography and Near-Infrared Spectroscopy
URI http://link.springer.com/10.1007/978-1-4419-7756-4_48
https://www.ncbi.nlm.nih.gov/pubmed/21445809
Volume 701
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