Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity.
- DOI
- 10.3390/e26100831
- Published
- 2024 Sep 30
- Container
- Entropy (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/e26100831,
title = {Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity.},
author = {Jabloun M and Buttelli O and Ravier P},
year = {2024},
journal = {Entropy (Basel, Switzerland)},
doi = {10.3390/e26100831},
url = {https://doi.org/10.3390/e26100831}
}RIS
TY - JOUR TI - Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity. AU - Jabloun M AU - Buttelli O AU - Ravier P PY - 2024 JO - Entropy (Basel, Switzerland) DO - 10.3390/e26100831 UR - https://doi.org/10.3390/e26100831 ER -
APA
M, J., O, B., & P, R. (2024). Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e26100831
Source records
- pubmed · retrieved 2026-09-25T17:12:12.528Z