Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction, Euclidean distance and neural networks

Modeling and classification of gait patterns between anterior cruciate ligament deficient and intact knees based on phase space reconstruction, Euclidean distance and neural networks

Abstract Background The anterior cruciate ligament (ACL) plays an important role in stabilizing translation and rotation of the tibia relative to the femur. ACL injury alters knee kinematics and usually links to the alternation of gait patterns. The aim of this study is to develop a new method to di...

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Bibliographic Details
Main Authors: Wenbao Wu, Wei Zeng, Limin Ma, Chengzhi Yuan, Yu Zhang
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BioMedical Engineering OnLine
Subjects:
Gait analysis
Anterior cruciate ligament
Movement disorders
Phase space reconstruction (PSR)
Euclidean distance (ED)
Neural networks
Online Access:http://link.springer.com/article/10.1186/s12938-018-0594-1

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http://link.springer.com/article/10.1186/s12938-018-0594-1

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