Making sense of sensor data for personalized health care

DOI

This is a dataset collected between 2020 June and March 2023. It is a longitudinal dataset using inertial measurement units to measure balance and gait features in people recovering from stroke during clinical rehabilitation. Furthermore it contains physical activity measures during clinical rehabilitation. Finally a comprehensive set of conventional clinical measures is collected. For more details about the dataset see below reference to published papers.

gait, https://github.com/RichardFel/Reliability-of-Balance

Balance, https://github.com/RichardFel/Reliability-of-Gait

please check out some papers published on this dataset. It will give you a clear idea how the data is collected (i.e. devices, device location, time intervals, rehab centers, inclusion exclusion criteria and much more).

https://www.mdpi.com/1424-8220/22/3/908 https://link.springer.com/article/10.1186/s12883-024-03632-0 https://pubmed.ncbi.nlm.nih.gov/36055184/

The format of the different files and participant data can be seen in the example files as attached in this dataset. The actual data can be requested through the provided e-mail adress. Given GDPR regulations no data is available here. But that can be shared after anomyzation or through the usage of i.e. a secure processing environment such as SANE SURF.

Identifier
DOI https://doi.org/10.17026/LS/FH0XRJ
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/LS/FH0XRJ
Provenance
Creator M. Punt ORCID logo
Publisher DANS Data Station Life Sciences
Contributor Punt, Michiel; Richard Felius; Natasja Wouda; Jules Kraaijkamp; Marieke Geerars; Michiel Punt
Publication Year 2025
Funding Reference SIA RAAK
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact Punt, Michiel
Representation
Resource Type Dataset
Format application/pdf; text/csv; text/tab-separated-values
Size 789691; 369077; 371823; 383244; 179004; 192999; 865680; 758112; 856371; 480364574; 14820
Version 2.0
Discipline Life Sciences; Medicine
Spatial Coverage Hoogstraat Revalidatie Utrecht; Parkgraaf Revalidatie Utrecht