Interunit Reliability and Effect of Data-Processing Methods of Global Positioning Systems.
Purpose: To establish the interunit reliability of a range of global positioning system (GPS)-derived movement indicators, to determine the variation between manufacturers, and to investigate the difference between software-derived and raw data. Methods: A range of movement variables were obtained f...
| Publicado en: | International Journal of Sports Physiology & Performance Vol. 14; no. 4; pp. 432 - 439 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Human Kinetics Publishers, Inc.
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135404302&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135404302 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15550265 16IB jtl: International Journal of Sports Physiology & Performance issn: 15550265 maglogo: N pubinfo: dt: Apr2019 vid: 14 iid: 4 pid: 553 pub: Human Kinetics Publishers, Inc. place: Champaign, Illinois artinfo: ui: 135404302 135404302 135404302 10.1123/ijspp.2018-0273 135404302 ppf: 432 ppct: 7 formats: tig: atl: Interunit Reliability and Effect of Data-Processing Methods of Global Positioning Systems. aug: au: Thornton, Heidi R. Nelson, André R. Delaney, Jace A. Serpiello, Fabio R. Duthie, Grant M. sug: subj: Movement Evaluation Global Positioning System Utilization Data Management Methods Equipment Reliability Human Team Sports Simulations Software Effect Size Confidence Intervals Descriptive Statistics Acceleration Microtechnology ab: Purpose: To establish the interunit reliability of a range of global positioning system (GPS)-derived movement indicators, to determine the variation between manufacturers, and to investigate the difference between software-derived and raw data. Methods: A range of movement variables were obtained from 27 GPS units from 3 manufacturers (GPSports EVO, 10 Hz, n = 10; STATSports Apex, 10 Hz, n = 10; and Catapult S5, 10 Hz, n = 7) that measured the same team-sport simulation session while positioned on a sled. The interunit reliability was determined using the coefficient of variation (%) and 90% confidence limits, whereas between-manufacturers comparisons and comparisons of software versus raw processed data were established using standardized effect sizes and 90% confidence limits. Results: The interunit reliability for both software and raw processed data ranged from good to poor (coefficient of variation = 0.2%; ±1.5% to 78.2%; ±1.5%), with distance, speed, and maximal speed exhibiting the best reliability. There were substantial differences between manufacturers, particularly for threshold-based acceleration and deceleration variables (effect sizes; ±90% confidence limits: −2.0; ±0.1 to 1.9; ±0.1), and there were substantial differences between data-processing methods for a range of movement indicators. Conclusions: The interunit reliability of most movement indicators was deemed as good regardless of processing method, suggesting that practitioners can have confidence within systems. Standardized data-processing methods are recommended, due to the large differences between data outputs from various manufacturer-derived software. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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