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Machine-learning classification of ACL-related neuromechanical risk profiles using fatigue-inclusive multimodal functional tests in soccer players Cover

Machine-learning classification of ACL-related neuromechanical risk profiles using fatigue-inclusive multimodal functional tests in soccer players

Biomedical Human Kinetics
Volume 18 (2026): Issue 1 (January 2026)
By: ,  ,  ,   and    
Open Access
|Nov 2026
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Authors

Authors

Himan Ebrahimi

Ebrahimihiman@phd.guilan.ac.ir

Department of Sports Injury and Corrective Exercise, Faculty of Physical Education & Sport Sciences, University of Guilan, Rasht, Iran

Ali Asghar Norasteh

Department of Physiotherapy, Faculty of Medicine, Guilan University of Medical Sciences, Rasht, Iran

Hassan Daneshmandi

Department of Sports Injury and Corrective Exercise, Faculty of Physical Education & Sport Sciences, University of Guilan, Rasht, Iran

Ali Sharifnezhad

Department of Sport Biomechanics, Sport Science Research Institute, Tehran, Iran

Mostafa Zarei

Sport Rehabilitation and Health Department, Faculty of Sports Sciences and Health, Shahid Beheshti University, Tehran, Iran
DOI: https://doi.org/10.2478/bhk-2026-0035 | Journal eISSN: 2080-2234
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Language: English
Page range: 346 - 362
Submitted on: Sep 21, 2026
Accepted on: Sep 29, 2026
Published on: Nov 10, 2026
Published by: University of Physical Education in Warsaw
In partnership with: Paradigm Publishing Services
Keywords:
Anterior cruciate ligament,
Fatigue,
Functional performance test,
Machine learning,
Soccer
Related subjects:
Medicine,
Basic medical science,
Basic medical science, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2026 Himan Ebrahimi, Ali Asghar Norasteh, Hassan Daneshmandi, Ali Sharifnezhad, Mostafa Zarei, published by University of Physical Education in Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2026): Issue 1 (January 2026)
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