Scalable (low-cost) approaches for remote and personalised rehabilitation

Conor Wall; Alan Godfrey

doi:10.1016/j.maturitas.2023.107867

Scalable (low-cost) approaches for remote and personalised rehabilitation

Conor Wall, Alan Godfrey^*

^*Corresponding author for this work

Computer and Information Sciences Department

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Article number	107867
Number of pages	3
Journal	Maturitas
Volume	181
Early online date	9 Oct 2023
DOIs	https://doi.org/10.1016/j.maturitas.2023.107867
Publication status	Published - 1 Mar 2024

Keywords

Pervasive technologies
smartphones
wearables
cueing
gait
falls

Access to Document

10.1016/j.maturitas.2023.107867

Maturitas Editorial v5 PUREAccepted author manuscript, 177 KBLicence: CC BY-NC-ND

Cite this

@article{0e94d2b435f94562a0643cc14300d5b1,

title = "Scalable (low-cost) approaches for remote and personalised rehabilitation",

keywords = "Pervasive technologies, smartphones, wearables, cueing, gait, falls",

author = "Conor Wall and Alan Godfrey",

note = "Funding information: Conor Wall is co-funded by a grant from the National Institute of Health Research (NIHR) Applied Research Collaboration (ARC) North East and North Cumbria (NENC). This research is also co-funded by the Faculty of Environment and Engineering at Northumbria University.",

year = "2024",

month = mar,

day = "1",

doi = "10.1016/j.maturitas.2023.107867",

language = "English",

volume = "181",

journal = "Maturitas",

issn = "0378-5122",

publisher = "Elsevier",

}

TY - JOUR

T1 - Scalable (low-cost) approaches for remote and personalised rehabilitation

AU - Wall, Conor

AU - Godfrey, Alan

N1 - Funding information: Conor Wall is co-funded by a grant from the National Institute of Health Research (NIHR) Applied Research Collaboration (ARC) North East and North Cumbria (NENC). This research is also co-funded by the Faculty of Environment and Engineering at Northumbria University.

PY - 2024/3/1

Y1 - 2024/3/1

KW - Pervasive technologies

KW - smartphones

KW - wearables

KW - cueing

KW - gait

KW - falls

UR - http://www.scopus.com/inward/record.url?scp=85173808188&partnerID=8YFLogxK

U2 - 10.1016/j.maturitas.2023.107867

DO - 10.1016/j.maturitas.2023.107867

M3 - Editorial

AN - SCOPUS:85173808188

SN - 0378-5122

VL - 181

JO - Maturitas

JF - Maturitas

M1 - 107867

ER -

Scalable (low-cost) approaches for remote and personalised rehabilitation

Keywords

Access to Document

Other files and links

Cite this