A computational model to investigate the effect of pennation angle on surface electromyogram of Tibialis Anterior.

Diptasree Maitra Ghosh, Dinesh Kumar, Sridhar Poosapadi Arjunan, Ariba Siddiqi, Ramakrishnan Swaminathan

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Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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1 citing paper in PubMed.

Intramuscular Fat Influences Neuromuscular Activation of the Gluteus Medius in Older Adults.Frontiers in physiology · 2020
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5 · Who and what money

Authors and funding

5 authors.

Diptasree Maitra GhoshNon-Invasive Imaging and Diagnostics Laboratory, Biomedical Engineering Group, Applied Mechanics Department, Indian Institute of Technology Madras, Chennai, India.

Dinesh KumarBiosignals Lab, School of Engineering, RMIT University, Melbourne, Australia.

Sridhar Poosapadi ArjunanBiosignals Lab, School of Engineering, RMIT University, Melbourne, Australia.ORCID http://orcid.org/0000-0002-7288-0380

Ariba SiddiqiBiosignals Lab, School of Engineering, RMIT University, Melbourne, Australia.

Ramakrishnan SwaminathanNon-Invasive Imaging and Diagnostics Laboratory, Biomedical Engineering Group, Applied Mechanics Department, Indian Institute of Technology Madras, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study has described and experimentally validated the differential electrodes surface electromyography (sEMG) model for tibialis anterior muscles during isometric contraction. This model has investigated the effect of pennation angle on the simulated sEMG signal. The results show that there is no significant effect of pennation angle in the range 0° to 20° to the single fibre action potential shape recorded on the skin surface. However, the changes with respect to pennation angle are observed in sEMG amplitude, frequency and fractal dimension. It is also observed that at different levels of muscle contractions there is similarity in the relationships with Root Mean Square, Median Frequency, and Fractal Dimension of the recorded and simulated sEMG signals.

Indexed as

Computer SimulationAction PotentialsAdultElectromyographyHumansMuscle, Skeletal

Identifiers

PMID29216231

DOI10.1371/journal.pone.0189036

PMCPMC5720512

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.