UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Quality control methods in accelerometer data processing: identifying extreme counts.

Rich, C; Geraci, M; Griffiths, L; Sera, F; Dezateux, C; Cortina-Borja, M; (2014) Quality control methods in accelerometer data processing: identifying extreme counts. PLoS One , 9 (1) , Article e85134. 10.1371/journal.pone.0085134. Green open access

[thumbnail of journal.pone.0085134.pdf]
Preview
PDF
journal.pone.0085134.pdf

Download (243kB)

Abstract

Accelerometers are designed to measure plausible human activity, however extremely high count values (EHCV) have been recorded in large-scale studies. Using population data, we develop methodological principles for establishing an EHCV threshold, propose a threshold to define EHCV in the ActiGraph GT1M, determine occurrences of EHCV in a large-scale study, identify device-specific error values, and investigate the influence of varying EHCV thresholds on daily vigorous PA (VPA).

Type: Article
Title: Quality control methods in accelerometer data processing: identifying extreme counts.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0085134
Publisher version: http://dx.doi.org/10.1371/journal.pone.0085134
Language: English
Additional information: © 2014 Rich et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept
URI: https://discovery.ucl.ac.uk/id/eprint/1418051
Downloads since deposit
122Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item