Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players

Motion Sensors-Based Machine Learning Approach for the Identification of Anterior Cruciate Ligament Gait Patterns in On-the-Field Activities in Rugby Players

Anterior cruciate ligament (ACL) injuries are common among athletes. Despite a successful return to sport (RTS) for most of the injured athletes, a significant proportion do not return to competitive levels, and thus RTS post ACL reconstruction still represents a challenge for clinicians. Wearable s...

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Bibliographic Details
Main Authors: Salvatore Tedesco, Colum Crowe, Andrew Ryan, Marco Sica, Sebastian Scheurer, Amanda M. Clifford, Kenneth N. Brown, Brendan O’Flynn
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
machine learning
ACL
biomechanics
IMUs
inertial sensors
gait analysis
Online Access:https://www.mdpi.com/1424-8220/20/11/3029

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https://www.mdpi.com/1424-8220/20/11/3029

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