1. The ActiGraph counts processing and the assessment of vigorous activity
- Author
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Eivind Aadland, Daniel Arvidsson, Jan Christian Brønd, Lars Bo Andersen, Sigmund A Andersen, and Geir Kåre Resaland
- Subjects
Adult ,Male ,medicine.medical_specialty ,Time Factors ,Adolescent ,Physiology ,Physical activity ,physical activity ,Fitness Trackers ,Walking ,030204 cardiovascular system & hematology ,Running ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Predictive Value of Tests ,Physiology (medical) ,Humans ,Medicine ,Child ,algorithm ,business.industry ,Reproducibility of Results ,Calorimetry, Indirect ,Signal Processing, Computer-Assisted ,030229 sport sciences ,General Medicine ,ActiGraph ,filtering ,Actigraphy ,Functional imaging ,Clinical Physiology ,Physical therapy ,Female ,business ,Algorithms - Abstract
This is the peer reviewed version of the following article: Brønd, J. C., Aadland, E., Andersen, L. B., Resaland, G. K., Andersen, S. A. & Arvidsson, D. (2019). The ActiGraph counts processing and the assessment of vigorous activity. Clinical Physiology and Functional Imaging, 39(4), 276-283, which has been published in final form at https://doi.org/10.1111/cpf.12571. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions The purpose of this study was to investigate the effect of different band‐pass filters on the measurement bias with ActiGraph counts during high speed running and for estimating free‐living vigorous physical activity (VPA). Two alternative band‐pass filters were designed, extending the original frequency range from 0·29 to 1·66 Hz (AG) to 0·29–4 Hz (AC4) and 0·29–10 Hz (AC10). Sixty‐two subjects in three age groups participated in a structured locomotion protocol consisting of multiple walking and running speeds. The time spent in free‐living VPA using the three different band‐pass filters were evaluated in 1121 children. Band‐pass filter specific intensity cut‐points from both linear regression and ROC analysis was identified from a calibration experiment using indirect calorimetry. The ActiGraph GT3X+ device recording raw acceleration at 30 Hz was used in all experiments. The linear association between counts and running speed was negative for AG but positive for AC4 and AC10 across all age groups. The time spent in free‐living VPA was similar for all band‐pass filters. Considering higher frequency information in the generation of ActiGraph counts with a hip/waist worn device reduces the measurement bias with running above 10 km·h−1. However, additional developments are required to accurately capture all VPA, including intermittent activities.
- Published
- 2019
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