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Bradley D. Hatfield, Calvin M. Lu and Jo B. Zimmerman

University of Michigan, described the emerging field of sport analytics wherein patterns are captured from large data sets, or the use of Big Data forecasting. This is an emerging area of human performance and is growing with the advent of wearable technologies. Szymanski states that sport analytics promises

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Sandra J. Shultz and Randy J. Schmitz

 al., 2019 ). Just as important as psychological readiness is physical readiness, specifically, the extent to which the athlete’s overall fitness is adequately prepared to meet the external-load demands of sport on RTS. To assist in this decision making, wearable technologies are increasingly being used to

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Zachary C. Pope, Nan Zeng, Xianxiong Li, Wenfeng Liu and Zan Gao

Wearable technology devices offer tremendous promise in promoting physical activity (PA) and health among diverse populations ( Case, Burwick, Volpp, & Patel, 2015 ; Kenney, Gortmaker, Evenson, Goto, & Furberg, 2015 ), with great potential to aid in the development of personalized health behavior

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Catrine Tudor-Locke, John M. Schuna Jr, Damon L. Swift, Amber T. Dragg, Allison B. Davis, Corby K. Martin, William D. Johnson and Timothy S. Church

evaluating the impact of physical activity changes on physiological outcomes. Although meta-analyses report that both structured walking exercise programs 33 , 34 and lifestyle step-counting programs (eg, those supported by pedometers and other wearable technologies) 16 result in reductions in blood

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Elaine Trudelle-Jackson, Emerenciana Hines, Ann Medley and Mary Thompson

of the many commercially available wearable technology may be more cost effective than prescribing and monitoring a high-velocity training program. Even when performing high-velocity training at home, somebody must make visits to assure good form and appropriate progression of the exercise. In our

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John J. McMahon, Paul A. Jones, Timothy J. Suchomel, Jason Lake and Paul Comfort

practitioners who include the RSImod calculation in their ongoing athlete-monitoring battery but not through force-platform analysis (ie, those who calculate RSImod via wearable technology). The primary purpose of this study was, therefore, to quantitatively describe the influence of RSImod on CMJ force–, power

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Sharna A. Naidu, Maurizio Fanchini, Adam Cox, Joshua Smeaton, Will G. Hopkins and Fabio R. Serpiello

measure internal TL was examined by calculating its correlations with 2 HR-based methods, Banister’s training impulse (TRIMP) 10 and Edwards’ TL. 11 HR data were collected through wearable technology devices (Team Pro; Polar Electro Oy, Kempele, Finland) and analyzed via a Microsoft Excel customized

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Jacob A. Goldsmith, Cameron Trepeck, Jessica L. Halle, Kristin M. Mendez, Alex Klemp, Daniel M. Cooke, Michael H. Haischer, Ryan K. Byrnes, Robert F. Zoeller, Michael Whitehurst and Michael C. Zourdos

, Bland–Altman). Some studies have used agreement plots 1 , 4 yet did not compare the velocity calculator to a true criterion. Garnacho-Castaño et al 1 and Balsalobre-Fernández et al 4 used Bland–Altman plots for agreement of TWAS and wearable technology; however, these comparisons were made to other LPTs and not a

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Jeremy A. Steeves, Scott A. Conger, Joe R. Mitrzyk, Trevor A. Perry, Elise Flanagan, Alecia K. Fox, Trystan Weisinger and Alexander H.K. Montoye

health behavior change ( Evenson, Buchner, & Morland, 2012 ; Parkka et al., 2006 ; Sullivan & Lachman, 2016 ). Due to the importance of muscle-strengthening exercises for promoting health, exercise scientists and wearable technology companies have begun to develop tools to objectively measure some of

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Allison Naber, Whitney Lucas Molitor, Andy Farriell, Kara Honius and Brooke Poppe

( Koltyn, 2002 ; Mathesom et al., 2013 ). One method that may be beneficial in altering lifestyle habits and health behaviors is through the utilization of wearable technology. When measuring activity levels, this technology is referred to as actigraphy, which is used to objectively measure physical