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
Link To Document :
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