Uni- and triaxial accelerometric signals agree during daily routine, but show differences between sports View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10-10

AUTHORS

Maia P. Smith, Alexander Horsch, Marie Standl, Joachim Heinrich, Holger Schulz

ABSTRACT

Accelerometers objectively monitor physical activity, and ongoing research suggests they can also detect patterns of body movement. However, different types of signal (uniaxial, captured by older studies, vs. the newer triaxial) and or/device (validated Actigraph used by older studies, vs. others) may lead to incomparability of results from different time periods. Standardization is desirable. We establish whether uniaxial signals adequately monitor routine activity, and whether triaxial accelerometry can detect sport-specific variations in movement pattern. 1402 adolescents wore triaxial Actigraphs (GT3X) for one week and diaried sport. Uni- and triaxial counts per minute were compared across the week and between over 30 different sports. Across the whole recording period 95% of variance in triaxial counts was explained by the vertical axis (5th percentile for R2, 91%). Sport made up a small fraction of daily routine, but differences were visible: even when total acceleration was comparable, little was vertical in horizontal movements, such as ice skating (uniaxial counts 41% of triaxial) compared to complex movements (taekwondo, 55%) or ambulation (soccer, 69%). Triaxial accelerometry captured differences in movement pattern between sports, but so little time was spent in sport that, across the whole day, uni- and triaxial signals correlated closely. This indicates that, with certain limitations, uniaxial accelerometric measures of routine activity from older studies can be feasibly compared to triaxial measures from newer studies. Comparison of new studies based on raw accelerations to older studies based on proprietary devices and measures (epochs, counts) will require additional efforts which are not addressed in this paper. More... »

PAGES

15055

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-33288-z

DOI

http://dx.doi.org/10.1038/s41598-018-33288-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107415057

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30305651


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196 schema:name Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Inner City Clinic, University Hospital of Munich (LMU), Munich, Germany
197 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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199 grid-institutes:grid.412748.c schema:alternateName Department of Public Health, School of Medicine, St George’s University, True Blue, Grenada
200 schema:name Department of Public Health, School of Medicine, St George’s University, True Blue, Grenada
201 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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203 grid-institutes:grid.452624.3 schema:alternateName Comprehensive Pneumology Center Munich, Member of German Center for Lung Research (DZL), Munich, Germany
204 schema:name Comprehensive Pneumology Center Munich, Member of German Center for Lung Research (DZL), Munich, Germany
205 Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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207 grid-institutes:grid.4567.0 schema:alternateName Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
208 schema:name Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
209 rdf:type schema:Organization
 




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