DocumentCode
2374640
Title
Quantitative estimation of muscle fatigue using surface electromyography during static muscle contraction
Author
Soo, Yewguan ; Sugi, Masao ; Nishino, Masataka ; Yokoi, Hiroshi ; Arai, Tamio ; Kato, Ryu ; Nakamura, Tatsuhiro ; Ota, Jun
Author_Institution
Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
2975
Lastpage
2978
Abstract
Muscle fatigue is commonly associated with the musculoskeletal disorder problem. Previously, various techniques were proposed to index the muscle fatigue from electromyography signal. However, quantitative measurement is still difficult to achieve. This study aimed at proposing a method to estimate the degree of muscle fatigue quantitatively. A fatigue model was first constructed using handgrip dynamometer by conducting a series of static contraction tasks. Then the degree muscle fatigue can be estimated from electromyography signal with reasonable accuracy. The error of the estimated muscle fatigue was less than 10% MVC and no significant difference was found between the estimated value and the one measured using force sensor. Although the results were promising, there were still some limitations that need to be overcome in future study.
Keywords
biomechanics; bone; electromyography; fatigue; force sensors; medical disorders; force sensor; handgrip dynamometer; muscle fatigue; musculoskeletal disorder; quantitative estimation; static muscle contraction; surface electromyography; Adult; Calibration; Electromyography; Hand Strength; Humans; Male; Models, Statistical; Muscle Contraction; Muscle Fatigue; Muscle Strength; Muscle Strength Dynamometer; Reproducibility of Results; Signal Processing, Computer-Assisted; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5332521
Filename
5332521
Link To Document