Validity of a Trunk-Mounted Accelerometer to Measure Physical Collisions in Contact Sports

Int J Sports Physiol Perform. 2015 Sep;10(6):681-6. doi: 10.1123/ijspp.2014-0381. Epub 2015 Apr 7.

Abstract

Context: Accelerometer peak impact accelerations are being used to measure player physical demands in contact sports. However, their accuracy to do so has not been ascertained.

Purpose: To compare peak-impact-acceleration data from an accelerometer contained in a wearable tracking device with a 3-dimensional motion-analysis (MA) system during tackling and bumping.

Methods: Twenty-five semielite rugby athletes wore a tracking device containing a 100-Hz triaxial accelerometer (MinimaxX S4, Catapult Innovations, Australia). A single retroreflective marker was attached to the device, with its position recorded by a 12-camera MA system during 3 physical-collision tasks (tackle bag, bump pad, and tackle drill; N = 625). The accuracy, effect size, agreement, precision, and relative errors for each comparison were obtained as measures of accelerometer validity.

Results: Physical-collision peak impact accelerations recorded by the accelerometer overestimated (mean bias 0.60 g) those recorded by the MA system (P < .01). Filtering the raw data at a 20-Hz cutoff improved the accelerometer's relationship with MA data (mean bias 0.01 g; P > .05). When considering the data in 9 magnitude bands, the strongest relationship with the MA system was found in the 3.0-g or less band, and the precision of the accelerometer tended to reduce as the magnitude of impact acceleration increased. Of the 3 movements performed, the tackle-bag task displayed the greatest validity with MA.

Conclusions: The findings indicate that the MinimaxX S4 accelerometer can accurately measure physical-collision peak impact accelerations when data are filtered at a 20-Hz cutoff frequency. As a result, accelerometers may be useful to measure physical collisions in contact sports.

Publication types

  • Comparative Study
  • Validation Study

MeSH terms

  • Acceleration
  • Actigraphy / instrumentation*
  • Adult
  • Athletes*
  • Athletic Performance*
  • Biomechanical Phenomena
  • Equipment Design
  • Football*
  • Geographic Information Systems / instrumentation*
  • Humans
  • Image Processing, Computer-Assisted
  • Male
  • Motor Activity*
  • Reproducibility of Results
  • Running*
  • Signal Processing, Computer-Assisted
  • Task Performance and Analysis
  • Time Factors
  • Video Recording
  • Young Adult