Literature DB >> 11228426

Mean frequency and signal amplitude of the surface EMG of the quadriceps muscles increase with increasing torque--a study using the continuous wavelet transform.

S Karlsson1, B Gerdle.   

Abstract

The continuous wavelet transform (CWT), a time-frequency method, was used when calculating mean frequency of the power spectrum (MNF) and signal amplitude (RMS) of the surface EMG to investigate their relationships to force during a gradually increasing knee extension (ramp). Based upon the CWT, MNF was redefined to include time dependence on the EMG signal frequency contents, the short-time MNF (STMNF). Surface EMG was recorded from vastus lateralis, rectus femoris and vastus medialis in 21 clinically healthy subjects during a brief, gradually increasing contraction up to 100% of a maximum voluntary contraction (MVC), with a duration of approximately 10 s. The relationships between the EMG variables and force using linear regression were determined for each subject. For vastus lateralis, we also investigated if certain aspects of the muscle morphology (i.e., proportions and areas of different fibre types) influenced the EMG-force relationship. For the majority of subjects (17-18 out of 21 subjects) there were significant positive correlations between STMNF and force in the three muscles. No sex differences were found in intercepts or regression coefficients of STMNF. The muscle morphology had a significant influence on the STMNF-force intercept and the regression coefficient. Positive and highly significant linear correlations between RMS and force were found for all subjects and all three muscles.In conclusion, time frequency methods can be applied when investigating EMG during brief contractions associated with non-stationarity. In a great majority of the subjects, and in the three muscles, significant linear force dependencies were found for STMNF. Thus, when evaluating muscle fatigue, e.g., in ergonomic situations, it is important to consider the force level as one factor that can influence the results. Morphological variables (fibre proportions and fibre areas) influenced the STMNF-force relationship in vastus lateralis.

Entities:  

Mesh:

Year:  2001        PMID: 11228426     DOI: 10.1016/s1050-6411(00)00046-8

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  11 in total

1.  Increased voluntary drive is associated with changes in common oscillations from 13 to 60 Hz of interference but not rectified electromyography.

Authors:  Osmar P Neto; Harsimran S Baweja; Evangelos A Christou
Journal:  Muscle Nerve       Date:  2010-09       Impact factor: 3.217

2.  Neuromuscular adaptations to detraining following resistance training in previously untrained subjects.

Authors:  Lars L Andersen; Jesper L Andersen; S Peter Magnusson; Per Aagaard
Journal:  Eur J Appl Physiol       Date:  2005-02-09       Impact factor: 3.078

3.  Relationship between hamstring activation rate and heel contact velocity: factors influencing age-related slip-induced falls.

Authors:  Thurmon E Lockhart; Sukwon Kim
Journal:  Gait Posture       Date:  2005-08-19       Impact factor: 2.840

4.  Influence of inter-electrode distance, contraction type, and muscle on the relationship between the sEMG power spectrum and contraction force.

Authors:  Javier Rodriguez-Falces; Daria Neyroud; Nicolas Place
Journal:  Eur J Appl Physiol       Date:  2014-11-21       Impact factor: 3.078

5.  [Muscle biomechanics in total ankle replacement].

Authors:  V Valderrabano; B Hintermann; V von Tscharner; B Göpfert; W Dick; B M Nigg
Journal:  Orthopade       Date:  2006-05       Impact factor: 1.087

6.  A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns.

Authors:  Vinzenz von Tscharner; Martin Ullrich; Maurice Mohr; Daniel Comaduran Marquez; Benno M Nigg
Journal:  PLoS One       Date:  2018-04-18       Impact factor: 3.240

7.  Muscle assessment using multi-frequency bioimpedance in a healthy Danish population aged 20-69 years: a powerful non-invasive tool in sports and in the clinic.

Authors:  Else Marie Bartels; Eva Littrup Andersen; Jack Kvistgaard Olsen; Lars Erik Kristensen; Henning Bliddal; Bente Danneskiold-Samsøe; Adrian Paul Harrison
Journal:  Physiol Rep       Date:  2019-06

8.  The Assessment of Muscular Effort, Fatigue, and Physiological Adaptation Using EMG and Wavelet Analysis.

Authors:  Ryan B Graham; Mark P Wachowiak; Brendon J Gurd
Journal:  PLoS One       Date:  2015-08-11       Impact factor: 3.240

9.  Does Heel Height Cause Imbalance during Sit-to-Stand Task: Surface EMG Perspective.

Authors:  Ganesh R Naik; Ahmed Al-Ani; Massimiliano Gobbo; Hung T Nguyen
Journal:  Front Physiol       Date:  2017-08-28       Impact factor: 4.566

10.  Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity.

Authors:  Evan Campbell; Angkoon Phinyomark; Erik Scheme
Journal:  Sensors (Basel)       Date:  2020-03-13       Impact factor: 3.576

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