DocumentCode
2389382
Title
Evaluation of frequency band technique in estimating muscle fatigue during dynamic contraction task
Author
Soo, Yewguan ; Nishino, Masataka ; Sugi, Masao ; Yokoi, Hiroshi ; Arai, Tamio ; Kato, Ryu ; Nakamura, Tatsuhiro ; Ota, Jun
Author_Institution
Dept. of Precision Eng., Univ. of Tokyo, Tokyo, Japan
fYear
2009
fDate
12-17 May 2009
Firstpage
933
Lastpage
938
Abstract
Long-time exposure to repetitive or monotonous work is associated with increased risk for musculoskeletal disorders that are due to muscle fatigue. Previously, researchers reported that muscle fatigue can be estimated using a low-frequency band of an SEMG signal. However, these studies were performed exclusively during static contraction tasks. The objective of the present study was to evaluate and determine the frequency range for a low-frequency band. In addition, the performance during dynamic contraction tasks was analyzed. A group of healthy university students (8 males) was recruited, and endurance handgrip tasks were conducted. SEMG signals were captured from the forearm muscle. The frequency range for the low-frequency band was redefined as 5 - 40 Hz. The results from a dynamic contraction task indicated that a low-frequency band is a reliable method for indexing muscle fatigue from SEMG signals.
Keywords
biomechanics; biomedical measurement; electromyography; fatigue; medical disorders; SEMG signal measurement; dynamic contraction task; endurance handgrip task; forearm muscle; frequency 5 Hz to 40 Hz; frequency band technique evaluation; muscle fatigue estimation; musculoskeletal disorder; static contraction task; Electromyography; Fatigue; Frequency estimation; Life estimation; Muscles; Musculoskeletal system; Needles; Performance analysis; Robotics and automation; Sensor phenomena and characterization;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on
Conference_Location
Kobe
ISSN
1050-4729
Print_ISBN
978-1-4244-2788-8
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ROBOT.2009.5152845
Filename
5152845
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