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Steve Barrett

Monitoring training and match loads in elite team sports is common practice for applied sport scientists and medical staff. 1 MEMS devices (Micromechanical Electrical Systems) containing global positioning systems (GPS) and accelerometers have been utilized in team sports to monitor players

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James J. Malone, Ric Lovell, Matthew C. Varley and Aaron J. Coutts

Athlete-tracking devices that include global positioning system (GPS) and microelectrical mechanical system (MEMS) components are now commonplace in sport research and practice. These devices provide large amounts of data that are used to inform decision making on athlete training and performance. However, the data obtained from these devices are often provided without clear explanation of how these metrics are obtained. At present, there is no clear consensus regarding how these data should be handled and reported in a sport context. Therefore, the aim of this review was to examine the factors that affect the data produced by these athlete-tracking devices and to provide guidelines for collecting, processing, and reporting of data. Many factors including device sampling rate, positioning and fitting of devices, satellite signal, and data-filtering methods can affect the measures obtained from GPS and MEMS devices. Therefore researchers are encouraged to report device brand/model, sampling frequency, number of satellites, horizontal dilution of precision, and software/firmware versions in any published research. In addition, details of inclusion/exclusion criteria for data obtained from these devices are also recommended. Considerations for the application of speed zones to evaluate the magnitude and distribution of different locomotor activities recorded by GPS are also presented, alongside recommendations for both industry practice and future research directions. Through a standard approach to data collection and procedure reporting, researchers and practitioners will be able to make more confident comparisons from their data, which will improve the understanding and impact these devices can have on athlete performance.

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Adam Jones, Chris Brogden, Richard Page, Ben Langley and Matt Greig

(footwork and plyometric drills) that are specific to soccer conditioning and the reported mechanisms of ankle injuries. Second, to assess if the location of the MEMS device influenced the observed response to the specific drills and if this response was dependent upon playing surface. Three surfaces are

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Richard J. Taylor, Dajo Sanders, Tony Myers, Grant Abt, Celia A. Taylor and Ibrahim Akubat

study. External TL was measured with a MEMS device (GPS 10-Hz, triaxial accelerometer 100 Hz; Catapult S5, firmware 6.75, Catapult Innovations, Melbourne, Australia). The reliability of the GPS units has previously been demonstrated for the measurement of speed and distance in team sports. 25 MEMS

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James W. Navalta, Jeffrey Montes, Nathaniel G. Bodell, Charli D. Aguilar, Ana Lujan, Gabriela Guzman, Brandi K. Kam, Jacob W. Manning and Mark DeBeliso

.0000000000000287 Li , R. , Lai , D.T.H. , & Lee , W.S. ( 2017 ). Biofeedback technologies for wireless body area networks . In D. Zhang & B. Wei (Eds.), Advanced mechatronics and MEMS devices II. Microsystems and nanosystems (pp.  659 – 686 ). Cham, Switzerland : Springer . Magnusson , D