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A Biomechanical Re-Examination of Physical Activity Measurement with Accelerometers

Artikel i vetenskaplig tidskrift
Författare Jonatan Fridolfsson
Mats Börjesson
Daniel Arvidsson
Publicerad i Sensors (Basel)
Volym 18
Nummer/häfte 10
Publiceringsår 2018
Publicerad vid Institutionen för neurovetenskap och fysiologi, sektionen för fysiologi
Institutionen för kost- och idrottsvetenskap
Språk en
Länkar dx.doi.org/10.3390/s18103399
Ämnesord ActiGraph, adults, axivity, children, filtering
Ämneskategorier Klinisk medicin

Sammanfattning

ActiGraph is the most common accelerometer in physical activity research, but it has measurement errors due to restrictive frequency filtering. This study investigated biomechanically how different frequency filtering of accelerometer data affects assessment of activity intensity and age-group differences when measuring physical activity. Data from accelerometer at the hip and motion capture system was recorded during treadmill walking and running from 30 subjects in three different age groups: 10, 15, and >20 years old. Acceleration data was processed to ActiGraph counts with original band-pass filter at 1.66 Hz, to counts with wider filter at either 4 or 10 Hz, and to unfiltered acceleration according to "Euclidian norm minus one" (ENMO). Internal and external power, step frequency, and vertical displacement of center of mass (VD) were estimated from the motion capture data. Widening the frequency filter improved the relationship between higher locomotion speed and counts. It also removed age-group differences and decreased within-group variation. While ActiGraph counts were almost exclusively explained by VD, the counts from the 10 Hz filter were explained by VD and step frequency to an equal degree. In conclusion, a wider frequency filter improves assessment of physical activity intensity by more accurately capturing individual gait patterns.

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