A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network

Mehran Hatamzadeh; Reza Hassannejad; Ali Sharifnezhad

doi:10.1016/j.bbe.2019.05.009

Article Dans Une Revue Biocybernetics and Biomedical Engineering Année : 2020

A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network

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Mehran Hatamzadeh

Fonction : Auteur
PersonId : 1235872
IdHAL : mehran-hatamzadeh
ORCID : 0000-0002-5183-4801

University of Tabriz [Tabriz]

Reza Hassannejad

Fonction : Auteur

University of Tabriz [Tabriz]

Ali Sharifnezhad

Fonction : Auteur

Department of Sport Biomechanics and Technology, Sport Sciences Research Institute, Tehran, Iran

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Biomécanique [physics.med-ph] Intelligence artificielle [cs.AI] Traitement du signal et de l'image [eess.SP]

Mehran Hatamzadeh : Connectez-vous pour contacter le contributeur

https://hal.univ-cotedazur.fr/hal-03298761

Soumis le : samedi 24 juillet 2021-01:34:21

Dernière modification le : lundi 28 novembre 2022-11:40:40

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hal-03298761 , version 1 (24-07-2021)

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HAL Id : hal-03298761 , version 1
DOI : 10.1016/j.bbe.2019.05.009

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Mehran Hatamzadeh, Reza Hassannejad, Ali Sharifnezhad. A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network. Biocybernetics and Biomedical Engineering, 2020, 40 (1), pp.65-76. ⟨10.1016/j.bbe.2019.05.009⟩. ⟨hal-03298761⟩

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A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network

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