Association of prospective falls in older people with ubiquitous step-based fall risk parameters calculated from ambulatory inertial signals

Dataset

DOI

Data (aggregated fall prediction parameters derived from one-week ambulatory inertial data for 301 older people + occurrence of fall during a one-year follow-up period) and the code (Jupiter Notebook) that were used to produce the fall prediction model from ambulatory gait characteristics in the associated paper.

Identifier
DOI	https://doi.org/10.57745/NTQLDA
Related Identifier	IsCitedBy https://doi.org/10.2196/preprints.49587
Metadata Access	https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/NTQLDA

Provenance
Creator	Al Abiad, Nahime ; van Schooten, Kimberley S. ; Renaudin, Valérie ; Delbaere, Kim; Robert, Thomas
Publisher	Recherche Data Gouv
Contributor	ROBERT, Thomas; Université Gustave Eiffel; Recherche Data Gouv
Publication Year	2023
Funding Reference	Australian National Health and Medical Research Council APP1084739 ; Human Frontier Science Program Fellowship LT001080/2017 ; Australian National Health and Medical Research Council APP1117171
Rights	etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess	true
Contact	ROBERT, Thomas (Université Gustave Eiffel)

Representation
Resource Type	Dataset
Format	text/markdown; text/html; application/x-ipynb+json; text/tab-separated-values; application/octet-stream
Size	1308; 629245; 40603; 51555; 4709; 1235
Version	2.0
Discipline	Life Sciences; Medicine