Predicting Sports Injuries with Wearable Technology and Data Analysis

Amir Zadeh (), David Taylor, Margaret Bertsos, Timothy Tillman, Nasim Nosoudi and Scott Bruce
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Amir Zadeh: Wright State University
David Taylor: Wright State University
Margaret Bertsos: Wright State University
Timothy Tillman: Wright State University
Nasim Nosoudi: Marshall University
Scott Bruce: Arkansas State University

Information Systems Frontiers, No 0, 15 pages

Abstract: Abstract Injuries resulting from sports and physical activities can be persistent and pose a substantial problem for player’s economic wellbeing and quality of life. Wearable technologies in conjunction with analytics can help mitigate the risk to players by identifying injury risk factors and focusing on risk reduction. Prior to engaging in strenuous sport activities, wearables can be employed to facilitate the quantification of relevant functional capabilities, ultimately advancing the field of sports injury management. In this paper, we discuss how wearable technologies can improve the health and athletic performance of athletes by monitoring participants across many variables. A cohort of 54 army ROTC cadets participated in this study. Using Zephyr BioHarness Wearable technology, we gathered quantifiable data to generate insights that allow us to predict and prevent injuries related the wearer’s physical exertion during sporting activities. This study finds that a combination of high BMI and high mechanical loads could result in injury. Therefore, in creating an exercise program, it is imperative to ensure that mechanical load is incrementally increased through the practice season as athletes become conditioned. While, a high level repetitious mechanical load with unconditioned athletes could cause injuries in short time, it is important to impose enough mechanical loads in the training program to ensure good musculoskeletal development. While our analyses identified several factors associated with injury data during ROTC activities, other wearable variables might become significant in other situations. In summary, results from this study demonstrate that wearable technology allows players with an increased risk of injury to be identified and targeted for intervention.

Keywords: Sports analytics; Wearable technology; Sports Injuries; Predictive analytics; ROTC; Internet of things (IoTs) (search for similar items in EconPapers)
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DOI: 10.1007/s10796-020-10018-3

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