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.
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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 |
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