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Public Library of Science, PLoS ONE, 1(9), p. e85134, 2014

DOI: 10.1371/journal.pone.0085134

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Quality Control Methods in Accelerometer Data Processing: Identifying Extreme Counts

Journal article published in 2014 by Carly Rich, Marco Geraci ORCID, Lucy Griffiths, Francesco Sera, Carol Dezateux ORCID, Mario Cortina-Borja
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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).