Performance of Force Myography and surface Electromyography in Level of Muscle Activity Classification: A Preliminary Study - Archive ouverte HAL Access content directly
Conference Papers Year : 2022

Performance of Force Myography and surface Electromyography in Level of Muscle Activity Classification: A Preliminary Study

Souha Baklouti
Ecole Nationale d'Ingénieurs de Sousse
Université de Sousse
Taysir Rezgui
  • Function : Author
  • PersonId : 1184357
Ecole Polytechnique de Tunisie
Abdelbadiaa Chaker
  • Function : Author
Ecole Nationale d'Ingénieurs de Sousse
Safa Mefteh
  • Function : Author
Enova Robotics S.A.
Azza Tayari
  • Function : Author
  • PersonId : 1184358
Université de Sousse
Anis Sahbani
  • Function : Author
  • PersonId : 1209114
Institut des Systèmes Intelligents et de Robotique
Khalil Ben Mansour
Biomécanique et Bioingénierie
F. Marin
  • Function : Author
Biomécanique et Bioingénierie
Samir Bennour
  • Function : Author
Faculté des Sciences de Monastir

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Engineering Sciences [physics]
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Submitted on : Monday, February 6, 2023-6:08:31 PM

Last modification on : Friday, February 10, 2023-4:15:17 AM

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hal-03910228 , version 1 (06-02-2023)

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Souha Baklouti, Taysir Rezgui, Abdelbadiaa Chaker, Safa Mefteh, Azza Tayari, et al.. Performance of Force Myography and surface Electromyography in Level of Muscle Activity Classification: A Preliminary Study. 47th congress of the Société de Biomécanique, Oct 2022, Monastir, Tunisia. ⟨10.1080/10255842.2022.2116885⟩. ⟨hal-03910228⟩

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