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A Study on the Measurement of Back Muscle Fatigue During Dynamic Contraction Using Multiple Parameters  

Yoon, Jung-Gun (한새전자기기 연구소)
Jung, Chul-Ki (서울시립대 전자전기컴퓨터공학부)
Yeo, Song-Phil (한국방송광고공사)
Kim, Sung-Hwan (서울시립대 전자전기컴퓨터공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.55, no.7, 2006 , pp. 344-351 More about this Journal
Abstract
The fatigue of back muscle in the repetitive lifting motion was studied using multiple parameters(FFT_MDF, RMS, 2C, NT) in this study. Recent developments in the time-frequency analysis procedures to compute the IMDF(instantaneous median frequency) were utilized to overcome the nonstationarity of EMG signal using Cohen-Posch distribution. But the above method has a lot of computation time because of its complexity. So, in this study, FFT_MDF(median frequency estimation based on FFT) algorithm was used for median frequency estimation of back muscle EMG signal during muscle work in uniform velocity portion of lumbar movement. The analysis period of EMG signal was determined by using the run test and lumbar movement angle in dynamic task, such as lifting. Results showed that FFT_MDF algorithm is well suited for the estimation of back muscle fatigue from the view point of computation time. The negative slope of a regression line fitted to the median frequency values of back muscle EMG signal was taken as an indication of muscle fatigue. The slope of muscle fatigueness with FFT_MDF method shows the similarity of 77.8% comparing with CP_MDF(median frequency estimation based on Cohen Posch distribution) method.
Keywords
Multiple Parameter; Surface EMG; Dynamic Contraction; Run Test; Stationary; Muscle Fatigue;
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