Estimating external loads and internal demands by positioning systems and innovative data processing approaches during intermittent running activities in team and racquet sports

(Modellierung der externen Belastungen und inneren Beanspruchungen mittels Ortungssystemen und innovativen Datenanalysen während intervallartiger Laufaktivitäten in den Mannschafts- und Rückschlagsportarten)

In this article, we introduce positioning systems in combination with innovative data processing approaches for estimating external loads and internal demands during intermittent running activities in team and racquet sports. Potential application fields are (i) performance analyses for profiling athletes; (ii) training analyses for allowing periodizations; and (iii) rehabilitative analyses for supporting return to play/competition decisions. Technological prerequisites are the (i) selection of an appropriate technology for which knowledge concerning the technical background is essential; and (ii) application of filtering techniques for eliminating noise. Using positioning system derived velocity and chest-belt measured heart rate data as inputs, innovative data processing approaches allow to estimate the (i) mechanical power and concentric/eccentric movement phases during changes of direction; (ii) metabolic power, mechanical efficiency, energy expenditure, and amount of aerobic/anaerobic energy supply; and (iii) stroke volume and cardiac output. Future perspectives are to develop positioning systems for (i) jump; (ii) technical-tactical skill; and (iii) movement analyses as well as (iv) to integrate biosensor data into the presented approaches for increasing their validity. Abstract from author
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Schlagworte: Spielsportart Fußball Handball Tennis Technologie EDV Leistungsdiagnostik GPS
Notationen: Spielsportarten Naturwissenschaften und Technik Trainingswissenschaft
DOI: 10.1016/j.orthtr.2018.01.001
Veröffentlicht in: Sport-Orthopädie - Sport-Traumatologie
Veröffentlicht: 2018
Jahrgang: 34
Heft: 1
Seiten: 3-14
Dokumentenarten: Artikel
Sprache: Englisch
Level: hoch