title: Quantitative estimation of muscle fatigue using surface electromyography during static muscle contraction.
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.
authors: Department of Precision Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, Japan 113-8656. soo@robot.t.u-tokyo.ac.jp
authors: Yewguan
authors: Y
authors: Soo
authors: Masao
authors: M
authors: Sugi
authors: Masataka
authors: M
authors: Nishino
authors: Hiroshi
authors: H
authors: Yokoi
authors: Tamio
authors: T
authors: Arai
authors: Ryu
authors: R
authors: Kato
authors: Tatsuhiro
authors: T
authors: Nakamura
authors: Jun
authors: J
authors: Ota
mesh_terms: D000328:Adult; D002138:Calibration; D004576:Electromyography / Q000379:methods*; D018737:Hand Strength / Q000502:physiology; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009119:Muscle Contraction / Q000502:physiology*; D018763:Muscle Fatigue / Q000502:physiology*; D053580:Muscle Strength / Q000502:physiology; D053581:Muscle Strength Dynamometer; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors