Literature DB >> 33388812

Reconstruction of net force fluctuations from surface EMGs of multiple muscles in steady isometric plantarflexion.

Ryosei Suzuki1, Hiroaki Kanehisa2, Sohei Washino3, Hironori Watanabe4, Minoru Shinohara5, Yasuhide Yoshitake6,7.   

Abstract

The purposes of this study were to clarify if force fluctuations during steady multi-muscle contractions have a temporal correlation with a low-frequency component of rectified surface EMG (rEMG) in the involved muscles and collection of that component across muscles allows for the reconstruction of force fluctuations across a wide range of contraction intensities. Healthy young men (n = 15) exerted steady isometric plantarflexion force at 5-60% of maximal force. Surface EMG was recorded from the medial and lateral gastrocnemii, soleus, peroneus longus, abductor hallucis, and tibialis anterior muscles. The cross-correlation function (CCF) between plantarflexion force fluctuations and low-pass filtered rEMG in each muscle was calculated for 8 s. To reconstruct force fluctuations from rEMGs, the product of rEMG and an identified constant factor were summed across muscles with time-lag compensation for electro-mechanical delay. A distinct peak of the CCF was found between plantarflexion force fluctuations and rEMG in most cases except for the tibialis anterior. The CCF peak was greatest in the medial gastrocnemius and soleus. Reconstructed force from rEMGs was temporally correlated with measured force fluctuations across contraction intensities (average CCF peak: r = 0.65). The results indicate that individual surface rEMG has a low-frequency component that is temporally correlated with net force fluctuations during steady multi-muscle contractions and contributes to the reconstruction of force fluctuations across a wide range of contraction intensities. It suggests a potential applicability of individual surface EMGs for identifying the contributing muscles to controlling or disturbing isometric steady force in multi-muscle contractions.

Entities:  

Keywords:  Cross-correlation function; Interference electromyogram; Multiple muscle model; Steadiness

Mesh:

Year:  2021        PMID: 33388812     DOI: 10.1007/s00221-020-05987-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  35 in total

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Authors:  M Bilodeau; D A Keen; P J Sweeney; R W Shields; R M Enoka
Journal:  Muscle Nerve       Date:  2000-05       Impact factor: 3.217

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Authors:  Anna Margherita Castronovo; Francesco Negro; Silvia Conforto; Dario Farina
Journal:  J Appl Physiol (1985)       Date:  2015-09-24

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Authors:  John W Chow; Dobrivoje S Stokic
Journal:  J Appl Physiol (1985)       Date:  2011-09-01

4.  Central nervous system modulates the neuromechanical delay in a broad range for the control of muscle force.

Authors:  A Del Vecchio; A Úbeda; M Sartori; J M Azorín; F Felici; D Farina
Journal:  J Appl Physiol (1985)       Date:  2018-07-05

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Authors:  C J De Luca
Journal:  Muscle Nerve       Date:  1995-12       Impact factor: 3.217

6.  Decrease in force steadiness with aging is associated with increased power of the common but not independent input to motor neurons.

Authors:  Anna Margherita Castronovo; Natalie Mrachacz-Kersting; Andrew James Thomas Stevenson; Ales Holobar; Roger Maro Enoka; Dario Farina
Journal:  J Neurophysiol       Date:  2018-07-05       Impact factor: 2.714

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Authors:  C J De Luca
Journal:  J Exp Biol       Date:  1985-03       Impact factor: 3.312

8.  Coherence of the Surface EMG and Common Synaptic Input to Motor Neurons.

Authors:  Jakob L Dideriksen; Francesco Negro; Deborah Falla; Signe R Kristensen; Natalie Mrachacz-Kersting; Dario Farina
Journal:  Front Hum Neurosci       Date:  2018-06-11       Impact factor: 3.169

9.  The human central nervous system transmits common synaptic inputs to distinct motor neuron pools during non-synergistic digit actions.

Authors:  A Del Vecchio; C M Germer; L A Elias; Q Fu; J Fine; M Santello; D Farina
Journal:  J Physiol       Date:  2019-10-30       Impact factor: 5.182

10.  Amplitude cancellation influences the association between frequency components in the neural drive to muscle and the rectified EMG signal.

Authors:  Jakob Lund Dideriksen; Dario Farina
Journal:  PLoS Comput Biol       Date:  2019-05-03       Impact factor: 4.475

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  1 in total

1.  People with chronic low back pain display spatial alterations in high-density surface EMG-torque oscillations.

Authors:  Michail Arvanitidis; David Jiménez-Grande; Nadège Haouidji-Javaux; Deborah Falla; Eduardo Martinez-Valdes
Journal:  Sci Rep       Date:  2022-09-07       Impact factor: 4.996

  1 in total

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