iFall: An instrumented application for falls reporting in Parkinson's disease

R. Morris^*, G. Standerline, E. Webster, J. Moore, A. Godfrey, A. Amjad

^*Corresponding author for this work

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

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@article{0d15e2ceebd04a92a06d3d02b67e9e2a,

title = "iFall: An instrumented application for falls reporting in Parkinson's disease",

keywords = "Parkinson's disease, Falls, Co-production",

author = "R. Morris and G. Standerline and E. Webster and J. Moore and A. Godfrey and A. Amjad",

year = "2022",

month = feb,

doi = "10.1016/j.physio.2021.12.036",

language = "English",

volume = "114",

pages = "e93",

journal = "Physiotherapy",

issn = "0031-9406",

publisher = "Elsevier",

number = "Supplement 1",

}

TY - JOUR

T1 - iFall

T2 - An instrumented application for falls reporting in Parkinson's disease

AU - Morris, R.

AU - Standerline, G.

AU - Webster, E.

AU - Moore, J.

AU - Godfrey, A.

AU - Amjad, A.

PY - 2022/2

Y1 - 2022/2

KW - Parkinson's disease

KW - Falls

KW - Co-production

U2 - 10.1016/j.physio.2021.12.036

DO - 10.1016/j.physio.2021.12.036

M3 - Article

VL - 114

SP - e93

JO - Physiotherapy

JF - Physiotherapy

SN - 0031-9406

IS - Supplement 1

M1 - P030

ER -