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Walking Bout Detection for People Living in Long Residential Care: A Computationally Efficient Algorithm for a 3-Axis Accelerometer on the Lower Back

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

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


Publication metadata

Author(s): MacLean MK, Rehman RZU, Kerse N, Taylor L, Rochester L, Del Din S

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2023

Volume: 23

Issue: 21

Online publication date: 04/11/2023

Acceptance date: 02/11/2023

Date deposited: 06/11/2023

ISSN (electronic): 1424-8220

Publisher: MDPI AG

URL: https://doi.org/10.3390/s23218973

DOI: 10.3390/s23218973

Data Access Statement: The data presented in this study are openly available in GitHub at https://github.com/Rai-Mac/GaitDetection (accessed on 1 November 2023). The data presented in this study are available on request from authors N.K and L.T.


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Funding

Funder referenceFunder name
BRC
European Federation of Pharmaceutical Industries and Associations
European Union Horizon 2020
Health Research Council of New Zealand project grant (reference 18/414)
IDEA-FAST—Grant Agreement 853981
Innovative Medicines Initiative 2 Joint Undertaking (JU) grant No. 820820
NIHR
Wellcome Trust

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