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Classification of gait patterns in patients with unilateral anterior cruciate ligament deficiency based on phase space reconstruction, Euclidean distance and neural networks

Crossref DOI link: https://doi.org/10.1007/s00500-019-04017-z

Published Online: 2019-04-30

Published Print: 2020-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zeng, Wei https://orcid.org/0000-0002-8353-8265
Ismail, Shiek Abdullah

Pappas, Evangelos
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61773194, 61304084)

Natural Science Foundation of Fujian Province of China (2018J01542)

Program for New Century Excellent Talents in Fujian Province University
License Information

Text and Data Mining valid from 2019-04-30
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Article History

First Online: 30 April 2019

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

: The study was approved by the ethical review board (2014/547), The University of Sydney, Australia. This article does not contain any studies with animals performed by any of the authors. A written informed consent was obtained from each participant before data collection began.

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