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The Relationship Between Variables in Wearable Microtechnology Devices and Cricket Fast-Bowling Intensity
Author(s) -
Dean J. McNamara,
Tim J. Gabbett,
Peter Blanch,
Luke A. Kelly
Publication year - 2017
Publication title -
international journal of sports physiology and performance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.278
H-Index - 66
eISSN - 1555-0273
pISSN - 1555-0265
DOI - 10.1123/ijspp.2016-0540
Subject(s) - workload , microtechnology , cricket , simulation , computer science , statistics , mathematics , engineering , ecology , electrical engineering , biology , operating system
To date, the monitoring of fast-bowling workloads across training and competition environments has been limited to counting total balls bowled. However, bowling at faster velocities is likely to require greater effort while also placing greater load on the bowler. This study investigated the relationship between prescribed effort and microtechnology outputs in fast bowlers to ascertain whether the technology could provide a more refined measure of workload. Twelve high-performing fast bowlers (mean ± SD age 20.3 ± 2.2 y) participated in the study. Each bowler bowled 6 balls at prescribed bowling intensities of 60%, 70%, 85%, and 100%. The relationships between microtechnology outputs, prescribed intensity, and ball velocity were determined using polynomial regression. Very large relationships were observed between prescribed effort and ball velocity for peak PlayerLoad™ (R = .83 ± .19 and .82 ± .20). The PlayerLoad across lower ranges of prescribed effort exhibited a higher coefficient of variation (CV) (60% = 19.0% [17.0-23.0%]), while the CV at higher ranges of prescribed effort was lower (100% = 7.3% [6.4-8.5%]). Routinely used wearable microtechnology devices offer opportunities to examine workload and intensity in cricket fast bowlers outside the normal metrics reported. They offer a useful tool for prescribing and monitoring bowling intensity and workload in elite fast bowlers.

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