A new method of diagnosing athlete's anterior cruciate ligament health status using surface electromyography and deep convolutional neural network - Université Côte d'Azur
Journal Articles Biocybernetics and Biomedical Engineering Year : 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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Biomechanics [physics.med-ph] Artificial Intelligence [cs.AI] Signal and Image Processing

Mehran Hatamzadeh  : Connect in order to contact the contributor

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

Submitted on : Saturday, July 24, 2021-1:34:21 AM

Last modification on : Monday, November 28, 2022-11:40:40 AM

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

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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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