Features for muscle fatigue computed from electromyogram and mechanomyogram: A new one

2016 ◽  
Vol 230 (12) ◽  
pp. 1096-1105 ◽  
Author(s):  
Şükrü Okkesim ◽  
Kezban Coşkun
Keyword(s):  
Muscle Fatigue ◽  
Frequency Ratio ◽  
Biceps Brachii ◽  
Median Frequency ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Power Frequency ◽  
Ratio Change ◽  
The Mean ◽  
New Feature

Muscle fatigue produces negative effects in the performance and it may lead to a muscle failure. This problem makes the quantitative grading of muscle fatigue a necessity in ergonomic and physiological research. Moreover, the quantitative grading of muscle fatigue is needed to increase work and sport productivity and prevent several accidents that result from muscle fatigue. Even though there are many studies for this aim, there is no quantitative criterion for the evaluation of muscle fatigue. The main reason is that muscle fatigue is a complex physiological situation that is dependent on several parameters. Our aim in this study is to present a new feature to evaluate muscle fatigue and prove the reliability of the new feature by making correlation analyses between this with other features. For this aim, electromyography and mechanomyography signals were simultaneously recorded from the biceps brachii and triceps brachii muscles during the isometric and isotonic contractions of 60 healthy volunteers (30 females, 30 males). The mean power frequency and median frequency, which are used in the literature, were compared to the frequency ratio change, the new measure; correlations between the frequency ratio change and the mean power frequency and median frequency were analysed. There was a high correlation between the features, and frequency ratio change can be used to quantitatively evaluate muscle fatigue.

scholarly journals Muscle Fatigue in the Temporal and Masseter Muscles in Patients with Temporomandibular Dysfunction

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Krzysztof Woźniak ◽  
Mariusz Lipski ◽  
Damian Lichota ◽  
Liliana Szyszka-Sommerfeld
Keyword(s):  
Muscle Fatigue ◽  
Isometric Contraction ◽  
Temporomandibular Disorders ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Temporomandibular Dysfunction ◽  
Maximum Effort ◽  
Power Frequency ◽  
The Mean ◽  
Masseter Muscles

The aim of this study is to evaluate muscle fatigue in the temporal and masseter muscles in patients with temporomandibular dysfunction (TMD). Two hundred volunteers aged 19.3 to 27.8 years (mean 21.50, SD 0.97) participated in this study. Electromyographical (EMG) recordings were performed using a DAB-Bluetooth Instrument (Zebris Medical GmbH, Germany). Muscle fatigue was evaluated on the basis of a maximum effort test. The test was performed during a 10-second maximum isometric contraction (MVC) of the jaws. An analysis of changes in the mean power frequency of the two pairs of temporal and masseter muscles (MPF%) revealed significant differences in the groups of patients with varying degrees of temporomandibular disorders according to Di (P<0.0000). The study showed an increase in the muscle fatigue of the temporal and masseter muscles correlated with the intensity of temporomandibular dysfunction symptoms in patients. The use of surface electromyography in assessing muscle fatigue is an excellent diagnostic tool for identifying patients with temporomandibular dysfunction.

The Measurement of Sensitivity of Numerical Parameters in Quantification of Local Muscle Fatigue

1998 ◽  
Vol 42 (12) ◽  
pp. 936-939 ◽  
Author(s):  
Jung-Yong Kim ◽  
Myung-Chul Jung
Keyword(s):  
Muscle Fatigue ◽  
Voluntary Contraction ◽  
Erector Spinae ◽  
Superior Performance ◽  
Median Frequency ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Zero Crossing ◽  
Power Frequency ◽  
Local Muscle Fatigue

In order to find the most sensitive Electromyographic (EMG) parameter in quantification of local muscle fatigue (LMF), the first coefficient of Autoregression Model (ARC), Zero Crossing Rate (ZCR), Mean Power Frequency (MPF), Median Frequency (MF) have been analyzed and compared with each other in this study. Ten healthy male subjects participated in the experiment, and EMG signals were collected from the erector spinae muscle continuously for twenty seconds while subjects were isometrically extending their trunk. Various exertion levels such as 15%, 30%, 45%, 60%, and 75% of Maximal Voluntary Contraction (MVC) were also applied to the subjects. As results, ARC was found to be the most sensitive parameter at the level of 15% to 60% of MVC in terms of both slope and R2 value of regression model. On the other hand, MPF and ARC showed the highest R2 value at 60% and 75% level of MVC although MPF scored the lowest slope value at those levels. Moreover, MPF showed a superior performance to MF at 30% to 75% level of MVC.

Intramuscular and surface electromyogram changes during muscle fatigue

1986 ◽  
Vol 60 (4) ◽  
pp. 1179-1185 ◽  
Author(s):  
T. Moritani ◽  
M. Muro ◽  
A. Nagata
Keyword(s):  
Muscle Fatigue ◽  
Biceps Brachii ◽  
Surface Emg ◽  
Firing Frequency ◽  
Voluntary Contraction ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Surface Electromyogram ◽  
Spike Amplitude ◽  
Frequency Power

Twelve male subjects were tested to determine the effects of motor unit (MU) recruitment and firing frequency on the surface electromyogram (EMG) frequency power spectra during sustained maximal voluntary contraction (MVC) and 50% MVC of the biceps brachii muscle. Both the intramuscular MU spikes and surface EMG were recorded simultaneously and analyzed by means of a computer-aided intramuscular spike amplitude-frequency histogram and frequency power spectral analysis, respectively. Results indicated that both mean power frequency (MPF) and amplitude (rmsEMG) of the surface EMG fell significantly (P less than 0.001) together with a progressive reduction in MU spike amplitude and firing frequency during sustained MVC. During 50% MVC there was a significant decline in MPF (P less than 0.001), but this decline was accompanied by a significant increase in rmsEMG (P less than 0.001) and a progressive MU recruitment as evidenced by an increased number of MUs with relatively large spike amplitude. Our data suggest that the surface EMG amplitude could better represent the underlying MU activity during muscle fatigue and the frequency powers spectral shift may or may not reflect changes in MU recruitment and rate-coding patterns.

Dependence of the mean power frequency of the electromyogram on muscle force and fibre type

1991 ◽  
Vol 142 (4) ◽  
pp. 457-465 ◽  
Author(s):  
B. GERDLE ◽  
K. HENRIKSSON-LARSÉN ◽  
R. LORENTZON ◽  
M.-L. WRETLING
Keyword(s):  
Fibre Type ◽  
Muscle Force ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Power Frequency ◽  
The Mean

The effect of leg extension training on the mean power frequency of the mechanomyographic signal

2000 ◽  
Vol 23 (6) ◽  
pp. 973-975 ◽  
Author(s):  
Tammy K. Evetovich ◽  
Terry J. Housh ◽  
Joseph P. Weir ◽  
Dona J. Housh ◽  
Glen O. Johnson ◽  
...  
Keyword(s):  
Mean Power ◽  
Mean Power Frequency ◽  
Leg Extension ◽  
Power Frequency ◽  
The Mean

Surface EMG Based Muscle Fatigue Evaluation on Neck-Shoulder Muscles while Using Single-Monitor Arm

2016 ◽  
Vol 29 ◽  
pp. 61-67 ◽  
Author(s):  
Yan Hao Shao ◽  
Yan Song Zhou ◽  
Yan Zhang ◽  
Yao Dong Gu ◽  
Gusztáv Fekete ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Surface Emg ◽  
Test Surface ◽  
Significant Shift ◽  
Median Frequency ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Shoulder Muscles ◽  
Shoulder Region ◽  
Fatigue Evaluation

The median frequency (MF) and mean power frequency (MPF) have been confirmed as reliable indicators of muscle fatigue during sustained contractions. The purpose of this study was to explore whether single-monitor arm could release muscle fatigue in neck-shoulder region while maintaining a prolonged seated posture viewing computer screen by measuring MF and MPF. Ten male healthy university students volunteered to participate in the test. Surface electromyography of splenius capitis (SC) and trapezius (TR) were recorded. Each subject performed normal text editing tasks or video watching activities for 120 minutes with different monitor arm positions (Fixed, moving downward and moving upward). Results showed that the MPF of SC and TR had significant decreased trend as monitor arm at fixed position. As monitor arm moving upward, the MF and MPF of both muscles decreased significantly with time and the MF showed the lowest decline rate during the entire testing process. No significant shift of MF and MPF were observed as monitor arm moving downward. Findings of this study may have important implications for people who use computer intensively to release neck-shoulder muscle fatigue.

Interpretation of EMG spectral alterations and alteration indexes at sustained contraction

1992 ◽  
Vol 73 (4) ◽  
pp. 1211-1217 ◽  
Author(s):  
G. M. Hagg
Keyword(s):  
Power Spectrum ◽  
Action Potential ◽  
Median Frequency ◽  
Mean Power ◽  
Mean Power Frequency ◽  
Zero Crossing ◽  
Factors Affecting ◽  
Fatigue Development ◽  
Substantial Progress ◽  
Power Frequency

Alterations of the electromyographic power spectrum have been studied extensively to assess fatigue development in the neuromuscular system. Usually, a data reduction has been applied to create an index based on the mean power frequency or the median frequency. The physiological origin of the spectrum alterations has been (and to some extent still is) incompletely known. However, during the 1980s, substantial progress has been made in this field. The factors affecting the electromyographic power spectrum discussed in this review are action potential velocity decrease, firing statistics alterations, action potential modification, muscle temperature, additional recruitment at fatigue, and force level. Their impact on three commonly used fatigue indexes, mean power frequency, median frequency, and zero crossing rate, is also reviewed.

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