title: Modern Techniques and Technologies Applied to Training and Performance Monitoring.
abstract: Athlete preparation and performance continue to increase in complexity and costs. Modern coaches are shifting from reliance on personal memory, experience, and opinion to evidence from collected training-load data. Training-load monitoring may hold vital information for developing systems of monitoring that follow the training process with such precision that both performance prediction and day-to-day management of training become adjuncts to preparation and performance. Time-series data collection and analyses in sport are still in their infancy, with considerable efforts being applied in "big data" analytics, models of the appropriate variables to monitor, and methods for doing so. Training monitoring has already garnered important applications but lacks a theoretical framework from which to develop further. As such, we propose a framework involving the following: analyses of individuals, trend analyses, rules-based analysis, and statistical process control.
authors.forename: William A
authors.initials: WA
authors.lastname: Sands
authors.forename: Ashley A
authors.initials: AA
authors.lastname: Kavanaugh
authors.forename: Steven R
authors.initials: SR
authors.lastname: Murray
authors.forename: Jeni R
authors.initials: JR
authors.lastname: McNeal
authors.forename: Monèm
authors.initials: M
authors.lastname: Jemni
mesh_terms: D056352:Athletes; D054874:Athletic Performance / Q000639:trends*; D003625:Data Collection / Q000379:methods*; D006801:Humans; D064797:Physical Conditioning, Human
keywords: dose-response; statistical process control; time-series analysis