Frequency analysis of surface EMG to evaluation of muscle fatigue

Sadoyama, Tsugutake; Miyano, Hisao

doi:10.1007/bf00422469

Cited by 76 publications

(32 citation statements)

References 16 publications

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“…1; Basmajian and DeLuca 1985, for references). The shift in EMG spectral density function towards lower frequency components has been suggested to be associated with a reduction in muscle conduction velocity (Mortimer et al 1970;Sadoyama and Miyano 1981;Stulen and DeLuca 1981;Arendt-Nielsen and Mills 1985). As further support for this theory, a linear relationship between the mean frequency and the conduction velocity during sustained contractions has been demonstrated (Naeije and Zorn 1982;Sadoyama et al 1983;Eberstein and Beattie 1985).…”

Section: Discussionmentioning

confidence: 82%

Inter-relationship between muscle morphology, mechanical output and electromyographic activity during fatiguing dynamic knee-extensions in untrained females

Wretling

Henriksson-Larsén

Gerdle

1997

European Journal of Applied Physiology

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Changes in mechanical performance and electromyographic activity during fatiguing dynamic knee-extensions were evaluated with respect to muscle fibre type composition of the vastus lateralis muscle in nine sedentary female [23 (3) years] volunteers. The subjects performed 150 repetitive maximum knee-extensions using a Cybex dynamometer at 1.57 rad x s(-1). EMG activity was recorded from the vastus lateralis, the vastus medialis and the rectus femoris muscles. For each contraction, mean power frequency (MPF) and the root mean square (RMS) of the EMG were calculated, simultaneously with the peak torque (PT), contractional work (CW) and the mean power (MP). The MPF showed an initial decrease followed by a stable phase. The RMS increased during the initial seven contractions, after which a period of variability was displayed until about the 60th contraction. At the plateau level (last 50 contractions) the relative RMS values were not significantly different from the initial values. The PT, CW and MP increased during the initial five to ten contractions, after which a two-phase pattern was displayed, with a gradual decline followed by a stable phase. The absolute plateau level of MPF for the vastus lateralis muscle showed a significant negative correlation with the area percentage of type-1 fibres (r = -0.71). Significant correlations were also demonstrated to occur between the absolute plateau levels of PT, CW and MP and the relative proportion of type-1 fibres (r = 0.80, r = 0.82 and r = 0.82 respectively). Thus, in female subjects the mechanical performance and the MPF during fatigue are at least partly determined by muscle morphology.

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Section: Discussionmentioning

confidence: 82%

Inter-relationship between muscle morphology, mechanical output and electromyographic activity during fatiguing dynamic knee-extensions in untrained females

Wretling

Henriksson-Larsén

Gerdle

1997

European Journal of Applied Physiology

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“…PSD has also been reported to decrease with muscle fatigue [10]. sEMG amplitude is known to increase with muscle fatigue, and this is thought to result from an increase of motor units and impulse firing frequency, as well as synchronization of firing activity [11]. Although low-frequency components, PSD, and V p-p were found to contribute to the easiness of deglutition in our present study, the easiness of deglutition was only found to be significantly correlated with PSD Table 3: Mean scores for the easiness of deglutition (mean ± SD) was assessed by scoring in a 9-point scale (-4 to 4), muscle activity, Vp-p; highest peak voltage, lowfrequency component, high-frequency component, PSD: power spectral density (mean ± SE) for each test data sample.…”

Section: Discussionmentioning

confidence: 99%

A Predictive Model Based on Surface Electromyography to Assess the Easiness of Deglutition of Dysphagia Diets

Kayanuma¹,

Ueda²,

Minami³

et al. 2016

J Food Process Technol

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Dysphagia diet is used for the people who have disorder of swallowing caused by aging or cerebral arterial diseases. The current standards for dysphagic diets are based on their physical characteristics. However, parameters that reflect the easiness of swallowing are also critical. Here, we developed a method to objectively evaluate the easiness of deglutition. First, we collected 68 terms that describe food textures related to easiness of deglutition, and selected 54 commercial dysphagia diets as samples. Using these terms and samples, we conducted a texture-perception questionnaire survey, and the results were subjected to a correspondence analysis. Referring to the results of this analysis, 10 textures that represent the easiness of deglutition were selected and dysphagia diets corresponding to each texture were selected as well. Then, sensory evaluation and surface electromyography (sEMG) of the anterior triangle of the neck (submental triangle) were recorded using these samples. We developed a predictive model for the easiness of deglutition by applying a partial least squares (PLS) regression technique to the sensory evaluation and sEMG data. Parameter fitting of the cross-validation model was significant (R 2 , 0.87; RMSE, 0.34). The model accuracy was further investigated by fitting the model to test data, and results were again significant (R 2 , 0.89; RMSE, 0.10). This indicates that our predictive model using sEMG measurements was highly accurate. Evaluating the easiness of deglutition with this predictive model will help identify and develop new foods that make swallowing easier for patients with dysphagia.

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“…In general, decreased entropy is associated with increased fatigue that could be associated with increased synchronization of motor unit [32]. All in all, the advanced biofeedback resulted in changes of irregularity in the pattern of muscle activation.…”

Section: Effects Of Advanced Biofeedbackmentioning

confidence: 93%

Advanced biofeedback from surface electromyography signals using fuzzy system

Samani

Holtermann

Søgaard

et al. 2010

Med Biol Eng Comput

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The aims of this study were to develop a fuzzy inference-based biofeedback system and investigate its effects when inducing active (shoulder elevation) and passive (relax) pauses on the trapezius muscle electromyographic (EMG) activity during computer work. Surface EMG signals were recorded from clavicular, descending (bilateral) and ascending parts of the trapezius muscles during computer work. The fuzzy system readjusted itself based on the history of previous inputs. The effect of feedback was assessed in terms of muscle activation regularity and amplitude. Active pause resulted in non-uniform muscle activity changes in the trapezius muscle depicted by increase and decrease of permuted sample entropy in ascending and clavicular parts of trapezius, respectively (P < 0.05) compared with no pause. Concomitantly, the normalized root mean square of EMG increased approximately 5% in descending part of trapezius bilaterally (P < 0.01). These findings confirm that advanced feedback can change the pattern of muscle activation.

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Frequency analysis of surface EMG to evaluation of muscle fatigue

Cited by 76 publications

References 16 publications

Inter-relationship between muscle morphology, mechanical output and electromyographic activity during fatiguing dynamic knee-extensions in untrained females

Inter-relationship between muscle morphology, mechanical output and electromyographic activity during fatiguing dynamic knee-extensions in untrained females

A Predictive Model Based on Surface Electromyography to Assess the Easiness of Deglutition of Dysphagia Diets

Advanced biofeedback from surface electromyography signals using fuzzy system

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