2022
DOI: 10.1016/j.ergon.2022.103273
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Determining the fatigue associated with different task complexity during maintenance operations in males using electromyography features

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Cited by 11 publications
(3 citation statements)
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“…Muscle fatigue can be identified by increasing and decreasing median edge frequency ( MEF ) values, and as MEF decreases, muscle fatigue increases [ 22 , 23 , 24 , 25 ]. The MEF value can be obtained in the frequency range of 1–400 Hz after applying the fast Fourier transform, which transforms the EMG signal that changes with time into a frequency.…”
Section: Methodsmentioning
confidence: 99%
“…Muscle fatigue can be identified by increasing and decreasing median edge frequency ( MEF ) values, and as MEF decreases, muscle fatigue increases [ 22 , 23 , 24 , 25 ]. The MEF value can be obtained in the frequency range of 1–400 Hz after applying the fast Fourier transform, which transforms the EMG signal that changes with time into a frequency.…”
Section: Methodsmentioning
confidence: 99%
“…With exercise, if muscle fatigue occurred, MF shifted from high to low frequencies as indicated by a gradual decrease in MF [54,55]. A negative slope could indicate muscle fatigue, with a more negative slope indicating greater muscle fatigue [56][57][58][59].…”
Section: Measurement and Data Processing Of Semg Signalsmentioning
confidence: 99%
“…Nur et al [14], and Ayaz et al [15], preferred RMS to analyze and interpret the data as RMS calculation gives the best insight on the amplitude of the EMG signal with a waveform that easily be interpreted while Sarker and Mirka [16], Mas'As et al [17], and Phinyomark et al [18] preferred MDF as it is frequently considered as the gold standard for muscle fatigue assessment with sEMG signal due to its versatility to analyze both static and dynamic muscle contraction. Alhaag et al [19], in their recent research, used both RMS and MDF to identify the fatigue associated with different task complexity during maintenance operations while Borges et al [20] also used these two statistical methods to find the fatigue level of novice and elite archers on flexor digitorum superficialis (FDS). To find the correlation between muscle fatigue and the score obtained by the subject, several methods such as ttest, f-test, and Analysis of Variance (ANOVA) can be used to achieve the objective.…”
Section: Figure 1 Flow Chart Of Experiments Conductedmentioning
confidence: 99%