Assessing a novel way to measure step count while walking using a custom mobile phone application

DOI

Walking speed has been associated with many clinical outcomes (e.g. frailty, mortality, joint replacement need, etc.). Accurately measuring walking speed (stride length x step count/time) typically requires significant clinician/staff time or a gait lab with specialized equipment (i.e., electronic timers or motion capture). In the present study, our goal was to measure “step count” via smartphones through novel software and to compare with that reported by step tracking software that come standard with iOS and Android smartphones as a first step in walking speed measurement.Our population was non-impaired individuals, 28.3 ± 9.9 years old. We collected data from 52 individuals, 6 conditions and 3 trials for each condition.

Identifier
DOI https://doi.org/10.17026/dans-zye-pv7k
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zye-pv7k
Provenance
Creator C.P.H. Hurt
Publisher DANS Data Station Life Sciences
Contributor C.P. Hurt
Publication Year 2018
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact C.P. Hurt
Representation
Resource Type Dataset
Format application/zip; text/csv; application/vnd.oasis.opendocument.spreadsheet; application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 12635; 114052; 163375; 73107; 167000
Version 2.0
Discipline Life Sciences; Medicine