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Effect of sampling rate on acceleration and counts of hip- and wrist-worn ActiGraph accelerometers in children

Journal article
Authors Kimberly Clevenger
Karin Pfeiffer
Kelly Macintosh
Melitta McNarry
Jan Brønd
Daniel Arvidsson
Alexander Montoye
Published in Physiological Measurement
Volume 40
Issue 9
Pages 095008
ISSN 0967-3334
Publication year 2019
Published at Department of Food and Nutrition, and Sport Science
Pages 095008
Language en
Subject categories Sport and Fitness Sciences, Nutrition and Dietetics, Public health science


Sampling rate (Hz) of ActiGraph accelerometers may affect processing of acceleration to activity counts when using a hip-worn monitor, but research is needed to quantify if sampling rate affects actual acceleration (mgs), when using wrist-worn accelerometers and during non-locomotive activities. Objective: To assess the effect of ActiGraph sampling rate on total counts/15 s and mean acceleration and to compare differences due to sampling rate between accelerometer wear locations and across different types of activities. Approach: Children (n = 29) wore a hip- and wrist-worn accelerometer (sampled at 100 Hz, downsampled in MATLAB to 30 Hz) during rest/transition periods, active video games, and a treadmill test to volitional exhaustion. Mean acceleration and counts/15 s were computed for each axis and as vector magnitude. Main results: There were mostly no significant differences in mean acceleration. However, 100 Hz data resulted in significantly more total counts/15 s (mean bias 4–43 counts/15 s across axes) for both the hip- and wrist-worn monitor when compared to 30 Hz data. Absolute differences increased with activity intensity (hip: r = 0.46–0.63; wrist: r = 0.26–0.55) and were greater for hip- versus wrist-worn monitors. Percent agreement between 100 and 30 Hz data was high (97.4%–99.7%) when cut-points or machine learning algorithms were used to classify activity intensity. Significance: Our findings support that sampling rate affects the generation of counts but adds that differences increase with intensity and when using hip-worn monitors. We recommend researchers be consistent and vigilantly report the sampling rate used, but note that classifying data into activity intensities resulted in agreement despite differences in sampling rate.

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