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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.

Lookup NU author(s): Dr Rana RehmanORCiD, Dr Silvia Del DinORCiD, Professor Lynn RochesterORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Zhou Y, Rehman RZU, Hansen C, Maetzler W, Del Din S, Rochester L, Hortobágyi T, Lamoth CJC

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2020

Volume: 20

Issue: 15

Print publication date: 01/08/2020

Online publication date: 23/07/2020

Acceptance date: 21/07/2020

Date deposited: 25/07/2020

ISSN (electronic): 1424-8220

Publisher: MDPI

URL: https://doi.org/10.3390/s20154098

DOI: 10.3390/s20154098


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Funding

Funder referenceFunder name
funding from the European Union’s Horizon 2020research and innovation program under the Marie Skłodowska-Curie grant agreement No 721577.
Keep Control project

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