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Machine learning for automating subjective clinical assessment of gait impairment in people with acquired brain injury – a comparison of an image extraction and classification system to expert scoring

Crossref DOI link: https://doi.org/10.1186/s12984-024-01406-w

Published Online: 2024-07-23

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

Authors

Mobbs, Ashleigh

Kahn, Michelle

Williams, Gavin

Mentiplay, Benjamin F.

Pua, Yong-Hao

Clark, Ross A.
Funding

Funding for this research was provided by:

Royal Automobile Club of Victoria (RACV)

Physiotherapy Research Fund (PRF)
License Information

Text and Data Mining valid from 2024-07-23

Version of Record valid from 2024-07-23
More Information

Article History

Received: 7 February 2024

Accepted: 14 June 2024

First Online: 23 July 2024

Declarations

:

: Ethics approval was received from Human Research Ethics Committees of Epworth Healthcare (approval number 648 − 14) and the University of the Sunshine Coast (approval number S/17/1006) in accordance with the Declaration of Helsinki.

: All participants consented to these data being published.

: The authors declare no competing interests.

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