Applying common filtering processes to Global Navigation Satellite System-derived acceleration during team sport locomotion

Delves, Robert I M; Duthie, Grant M.; Ball, Kevin; Aughey, Robert J.

doi:10.1080/02640414.2022.2051332

Cited by 3 publications

(1 citation statement)

References 47 publications

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“…In fact, recent research has demonstrated that adopting a common data filtering process greatly limits between-device differences in acceleration-related metrics. 45 Researchers must be cognizant of the limitations associated with proprietary metrics and should be more critical of metrics that are insufficiently described. Furthermore, exercise-related metrics should ideally be reported in physical quantities.…”

Section: Accelerometry/inertial Measurement Unitsmentioning

confidence: 99%

A Framework for the Standardization of Game Analysis in Ice Hockey

Staunton

Björklund

2023

International Journal of Sports Physiology and Performance

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Background: Compared with other major global team sports such as football or basketball, ice hockey has received considerably less attention in sport-science research. However, the research focus on ice hockey performance is growing rapidly. Unfortunately, despite the growing interest in ice hockey, among the little research that has been conducted there are inconsistencies in terminology and methodology in the study of physiology and performance during games. The need for systematic and standardized reporting of study methodology is vital, as a lack of methodological detail or methodological inconsistencies make it impossible to replicate published studies, and alterations in the methodologies used can influence the measured demands imposed on players. Accordingly, this prohibits the ability of coaches to generate game-replicating training programs, decreasing the application of research findings to practice. In addition, a lack of methodological detail or methodological inconsistencies can result in incorrect conclusions being made from research. Purpose: In this invited commentary, we aim to increase awareness regarding the current standard of methodological reporting in ice hockey game-analysis research. In addition, we have developed a framework for the standardization of game analysis in ice hockey in order to allow for greater replication in future research and to increase the application of published findings to practice. Conclusions: We implore researchers in the field to consult the Ice Hockey Game Analysis Research Methodological Reporting Checklist in order to adopt a detailed reporting standard of methodologies in future work to help improve the applicability of research outcomes.

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Section: Accelerometry/inertial Measurement Unitsmentioning

confidence: 99%

A Framework for the Standardization of Game Analysis in Ice Hockey

Staunton

Björklund

2023

International Journal of Sports Physiology and Performance

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The validity of raw custom-processed global navigation satellite systems data during straight-line sprinting across multiple days

Crang,

Duthie,

Cole

et al. 2024

Journal of Science and Medicine in Sport

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Effect of Data-Processing Methods on Acceleration Summary Metrics of GNSS Devices in Elite Australian Football

Ellens,

Carey,

Gastin

et al. 2024

Sensors

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This study aimed to measure the differences in commonly used summary acceleration metrics during elite Australian football games under three different data processing protocols (raw, custom-processed, manufacturer-processed). Estimates of distance, speed and acceleration were collected with a 10-Hz GNSS tracking technology device from fourteen matches of 38 elite Australian football players from one team. Raw and manufacturer-processed data were exported from respective proprietary software and two common summary acceleration metrics (number of efforts and distance within medium/high-intensity zone) were calculated for the three processing methods. To estimate the effect of the three different data processing methods on the summary metrics, linear mixed models were used. The main findings demonstrated that there were substantial differences between the three processing methods; the manufacturer-processed acceleration data had the lowest reported distance (up to 184 times lower) and efforts (up to 89 times lower), followed by the custom-processed distance (up to 3.3 times lower) and efforts (up to 4.3 times lower), where raw data had the highest reported distance and efforts. The results indicated that different processing methods changed the metric output and in turn alters the quantification of the demands of a sport (volume, intensity and frequency of the metrics). Coaches, practitioners and researchers need to understand that various processing methods alter the summary metrics of acceleration data. By being informed about how these metrics are affected by processing methods, they can better interpret the data available and effectively tailor their training programs to match the demands of competition.

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Applying common filtering processes to Global Navigation Satellite System-derived acceleration during team sport locomotion

Cited by 3 publications

References 47 publications

A Framework for the Standardization of Game Analysis in Ice Hockey

A Framework for the Standardization of Game Analysis in Ice Hockey

The validity of raw custom-processed global navigation satellite systems data during straight-line sprinting across multiple days

Effect of Data-Processing Methods on Acceleration Summary Metrics of GNSS Devices in Elite Australian Football

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