APA (7th ed.) Citation

Jabloun, M., Buttelli, O., & Ravier, P. (2024, September). Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity. Entropy.

Chicago Style (17th ed.) Citation

Jabloun, Meryem, Olivier Buttelli, and Philippe Ravier. "Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity." Entropy Sep. 2024.

MLA (9th ed.) Citation

Jabloun, Meryem, et al. "Legendre Polynomial Fitting-Based Permutation Entropy Offers New Insights into the Influence of Fatigue on Surface Electromyography (sEMG) Signal Complexity." Entropy, Sep. 2024.