Mitigating Sports Injury Risks Using Internet of Things and Analytics Approaches

Wilkerson, Gary B.; Gupta, Ashish; Colston, Marisa A.

doi:10.1111/risa.12984

Cited by 34 publications

(31 citation statements)

References 40 publications

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“…A single prospective cohort study investigated the association of inertial sensor-based PC assessment scores with sports related injuries in a cohort of collegiate American football players, reporting that players with poorer PC were at a 5.19 times greater-odds of sustaining a sports related injury [61]. Table here 3.6 MEASUREMENT RELIABILITY Thirteen of the included studies were identified as assessing measurement reliability [16,27,28,33,40,41,45,47,58,[62][63][64][65].…”

Section: Predictive Validity -Sports Medicine Populationsmentioning

confidence: 99%

“…Six observational case-control studies investigated the discriminant validity of inertial sensor-based PC assessments in musculoskeletal injury populations, with two CAI studies [58,59], two knee injury studies [38,60], one LBP study [47] and one general sports injury study [61]. Both CAI studies leveraged differing dynamic PC assessments, reporting conflicting findings, with Brown et al [58] demonstrating no significant difference between 'stable' and 'CAI' groups in the static stance protocol, while Martinez-Ramírez et al [59] reported statistically significant differences between the groups using the instrumented SEBT.…”

Section: Musculoskeletal Injuriesmentioning

confidence: 99%

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Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review

2019

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Background: Recent advances in mobile sensing and computing technology has provided a means to objectively quantify postural control in unobtrusive environment. This has resulted in the rapid development and evaluation of a series of wearable inertial sensor-based assessments. However, the validity, reliability and clinical utility of such systems is not fully understood. Objectives: This systematic review aims to synthesise and evaluate studies which have investigated the ability of wearable inertial sensor systems to validly and reliability quantify postural control performance in sports science and medicine applications. Methods: A systematic search strategy, utilising the PRISMA guidelines, was employed to identify eligible articles through ScienceDirect, Embase and PubMed databases. Forty-seven articles met the inclusion criteria and were evaluated and qualitatively synthesised under two main headings: measurement validity and measurement reliability. Furthermore, studies which investigated the utility of these systems in clinical populations were summarised and discussed. Results: After duplicate removal 4,374 articles were identified with the search strategy, with 47 papers included in the final review. Twenty-eight studies investigated validity in healthy populations, while 15 studies investigated validity in clinical populations. Thirteen studies investigated the measurement reliability of these sensor-based systems. Conclusions: The application of wearable inertial sensors for sports science and medicine postural control applications is an evolving field. To date, research has primarily focused on evaluating the validity and reliability of a heterogeneous set of assessment protocols, in a laboratory environment. While researchers have begun to investigate their utility in clinical use-cases such as concussion and musculoskeletal injury, most studies have leveraged small sample sizes, have low study quality, and use a variety of descriptive variables, assessment protocols and sensor mounting locations. Future research should evaluate the clinical utility of these systems in large high-quality prospective cohort studies, to establish the role they may play in injury risk-identification, diagnosis and management.

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Section: Predictive Validity -Sports Medicine Populationsmentioning

confidence: 99%

Section: Musculoskeletal Injuriesmentioning

confidence: 99%

Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review

2019

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“…The clubhead trajectories of skilled golfers, for example, are smoother than those of unskilled golfers [49]. Recent research, furthermore, established that a lack of smoothness—in the postural sway adjustments of NCAA Division 1 College football players—predicted the likelihood of subsequent injury [50]. Such findings suggest smoothness is a phenomenon reflecting both practice-related skill improvements and the underpinning functional health of the neuro-muscular system.…”

Section: Is Movement Smoothness An Important Feature Of Running?mentioning

confidence: 99%

Smoothness: an Unexplored Window into Coordinated Running Proficiency

2019

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Over the expanse of evolutionary history, humans, and predecessor Homo species, ran to survive. This legacy is reflected in many deeply and irrevocably embedded neurological and biological design features, features which shape how we run, yet were themselves shaped by running.Smoothness is a widely recognised feature of healthy, proficient movement. Nevertheless, although the term ‘smoothness’ is commonly used to describe skilled athletic movement within practical sporting contexts, it is rarely specifically defined, is rarely quantified and remains barely explored experimentally. Elsewhere, however, within various health-related and neuro-physiological domains, many manifestations of movement smoothness have been extensively investigated. Within this literature, smoothness is considered a reflection of a healthy central nervous system (CNS) and is implicitly associated with practiced coordinated proficiency; ‘non-smooth’ movement, in contrast, is considered a consequence of pathological, un-practiced or otherwise inhibited motor control.Despite the ubiquity of running across human cultures, however, and the apparent importance of smoothness as a fundamental feature of healthy movement control, to date, no theoretical framework linking the phenomenon of movement smoothness to running proficiency has been proposed. Such a framework could, however, provide a novel lens through which to contextualise the deep underlying nature of coordinated running control. Here, we consider the relevant evidence and suggest how running smoothness may integrate with other related concepts such as complexity, entropy and variability. Finally, we suggest that these insights may provide new means of coherently conceptualising running coordination, may guide future research directions, and may productively inform practical coaching philosophies.

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“…They capture individual football player's data during the entire season objectively and accurately capture their movement data using accelerometers and combine that data with the students' medical records to make recommendations for interventions to help prevent injuries. Such approaches could also be extended to hazardous occupational settings where improvements in the workflow processes or the addition of an integrative sensorbased mobile technology could be accomplished (Wilkerson et al 2018) that drives making recommendations or detecting performance patterns.…”

Section: Healthcarementioning

confidence: 99%