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Validity of Real-Time Data Generated by a Wearable Microtechnology Device.

Dan Weaving1, Sarah Whitehead, Kevin Till

  • 11Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, United Kingdom; 2Leeds Rhinos Rugby League Club, Leeds, United Kingdom; 3Yorkshire Carnegie Rugby Union Club, Leeds, United Kingdom; and 4The Rugby Football League, Leeds, United Kingdom.

Journal of Strength and Conditioning Research
|July 13, 2017
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Summary
This summary is machine-generated.

Real-time global positioning system (GPS) data for speed metrics in athletes are valid for training analysis. However, accelerometer-derived PlayerLoad data show moderate error, requiring cautious interpretation.

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Area of Science:

  • Sports Science
  • Biomechanics
  • Performance Analysis

Background:

  • Real-time athlete monitoring is crucial for optimizing training load and intensity.
  • Global Positioning System (GPS) and Micro-Electrical-Mechanical-System (MEMS) devices are commonly used for this purpose.
  • Validating real-time data against post-session downloads is essential for reliable performance analysis.

Purpose of the Study:

  • To investigate the validity of real-time GPS and MEMS data compared to post-session criterion data.
  • To assess the accuracy of various speed-derived metrics and PlayerLoad collected during training sessions.

Main Methods:

  • Twenty-five professional rugby league players participated in two training sessions.
  • Players wore an MEMS device (Catapult S5) that collected both GPS and accelerometer data.
  • Real-time data were captured via a dedicated receiver and software, then compared to post-session downloads.

Main Results:

  • Real-time GPS-derived speed metrics (total, low, moderate, high, very high) showed trivial bias and small to perfect correlations with post-session data.
  • Accelerometer-derived PlayerLoad exhibited trivial bias but a moderate typical error of the estimate, with a nearly perfect correlation.

Conclusions:

  • Real-time speed data from GPS devices are comparable to post-session data, providing valid insights for training prescription.
  • Practitioners should use caution when interpreting real-time PlayerLoad due to moderate error, or rely on post-session data for this metric.