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Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts.

Jan Christian Brønd1, Daniel Arvidsson2

  • 1Center for Research in Childhood Health, Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark; and.

Journal of Applied Physiology (Bethesda, Md. : 1985)
|December 5, 2015
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Summary
This summary is machine-generated.

Sampling frequency significantly impacts ActiGraph activity counts. Using frequencies other than the default 30 Hz can lead to inaccurate physical activity data due to altered signal processing.

Keywords:
accelerometeramplitudefrequencymechanicsoscillationphysical activityrunningwalking

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Area of Science:

  • Biomedical Engineering
  • Sports Science
  • Wearable Technology

Background:

  • ActiGraph devices are widely used for physical activity research, generating activity counts from acceleration data.
  • Activity counts are derived through signal processing, including band-pass filtering, to remove unwanted frequencies.

Purpose of the Study:

  • To investigate the influence of different sampling frequencies on the generation of activity counts from ActiGraph acceleration data.
  • To determine how variations in sampling frequency affect the band-pass filtering process and subsequent activity count output.

Main Methods:

  • Three experiments were conducted: generating ideal signals in MATLAB, spinning ActiGraph GT3X+ monitors mechanically, and having 20 subjects perform walking/running with monitors.
  • Acceleration data were collected at various sampling frequencies (e.g., 30 Hz, 40 Hz, 100 Hz) and processed using ActiLife software.

Main Results:

  • The default 30-Hz sampling frequency correctly attenuated signals above 2.5 Hz and eliminated those above 5 Hz.
  • Higher sampling frequencies (40 Hz, 100 Hz) allowed higher frequencies to pass the filter, leading to increased activity counts, particularly during running (600-1600 counts/min more than 30 Hz).
  • Mechanical spinning of monitors confirmed that raw data processing within the GT3X+ is affected by sampling frequency.

Conclusions:

  • Sampling frequency is a critical factor influencing the accuracy of activity counts generated by ActiGraph devices.
  • Researchers must consider the chosen sampling frequency, as non-default settings can introduce errors and affect the reliability of physical activity measurements.