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Huber CM, Patton DA, Maheshwari J, Zhou Z, Kleiven S, Arbogast KB. Finite element brain deformation in adolescent soccer heading. Comput Methods Biomech Biomed Engin 2024; 27:1239-1249. [PMID: 37477178 PMCID: PMC10799973 DOI: 10.1080/10255842.2023.2236746] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 02/27/2023] [Accepted: 07/10/2023] [Indexed: 07/22/2023]
Abstract
Finite element (FE) modeling provides a means to examine how global kinematics of repetitive head loading in sports influences tissue level injury metrics. FE simulations of controlled soccer headers in two directions were completed using a human head FE model to estimate biomechanical loading on the brain by direction. Overall, headers were associated with 95th percentile peak maximum principal strains up to 0.07 and von Mises stresses up to 1450 Pa, and oblique headers trended toward higher values than frontal headers but below typical injury levels. These quantitative data provide insight into repetitive loading effects on the brain.
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Affiliation(s)
- Colin M. Huber
- Department of Bioengineeing, University of Pennsylvania, Philadelphia, United States of America
- Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, Philadelphia, United States of America
| | - Declan A. Patton
- Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, Philadelphia, United States of America
| | - Jalaj Maheshwari
- Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, Philadelphia, United States of America
| | - Zhou Zhou
- Neuronic Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Svein Kleiven
- Neuronic Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Kristy B. Arbogast
- Center for Injury Research and Prevention, Children’s Hospital of Philadelphia, Philadelphia, United States of America
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States of America
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Tooby J, Till K, Gardner A, Stokes K, Tierney G, Weaving D, Rowson S, Ghajari M, Emery C, Bussey MD, Jones B. When to Pull the Trigger: Conceptual Considerations for Approximating Head Acceleration Events Using Instrumented Mouthguards. Sports Med 2024; 54:1361-1369. [PMID: 38460080 PMCID: PMC11239719 DOI: 10.1007/s40279-024-02012-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2024] [Indexed: 03/11/2024]
Abstract
Head acceleration events (HAEs) are acceleration responses of the head following external short-duration collisions. The potential risk of brain injury from a single high-magnitude HAE or repeated occurrences makes them a significant concern in sport. Instrumented mouthguards (iMGs) can approximate HAEs. The distinction between sensor acceleration events, the iMG datum for approximating HAEs and HAEs themselves, which have been defined as the in vivo event, is made to highlight limitations of approximating HAEs using iMGs. This article explores the technical limitations of iMGs that constrain the approximation of HAEs and discusses important conceptual considerations for stakeholders interpreting iMG data. The approximation of HAEs by sensor acceleration events is constrained by false positives and false negatives. False positives occur when a sensor acceleration event is recorded despite no (in vivo) HAE occurring, while false negatives occur when a sensor acceleration event is not recorded after an (in vivo) HAE has occurred. Various mechanisms contribute to false positives and false negatives. Video verification and post-processing algorithms offer effective means for eradicating most false positives, but mitigation for false negatives is less comprehensive. Consequently, current iMG research is likely to underestimate HAE exposures, especially at lower magnitudes. Future research should aim to mitigate false negatives, while current iMG datasets should be interpreted with consideration for false negatives when inferring athlete HAE exposure.
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Affiliation(s)
- James Tooby
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.
| | - Kevin Till
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Leeds Rhinos Rugby League Club, Leeds, UK
| | - Andrew Gardner
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Keith Stokes
- Centre for Health and Injury and Illness Prevention in Sport, University of Bath, Bath, UK
- Medical Services, Rugby Football Union, Twickenham, UK
| | - Gregory Tierney
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Belfast, UK
| | - Daniel Weaving
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Steve Rowson
- Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA
- Leeds Beckett University, Leeds, UK
| | - Mazdak Ghajari
- Dyson School of Design Engineering, Imperial College London, London, UK
| | - Carolyn Emery
- Sport Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada
- Departments of Pediatrics and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Melanie Dawn Bussey
- School of Physical Education Sport and Exercise Sciences, University of Otago, Dunedin, New Zealand
| | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town and Sports Science Institute of South Africa, Cape Town, South Africa
- School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Brisbane, QLD, Australia
- Rugby Football League, England Performance Unit, Red Hall, Leeds, UK
- Premiership Rugby, London, UK
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Blythman R, Saxena M, Tierney GJ, Richter C, Smolic A, Simms C. Assessment of deep learning pose estimates for sports collision tracking. J Sports Sci 2022; 40:1885-1900. [DOI: 10.1080/02640414.2022.2117474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Richard Blythman
- V-SENSE, School of Computer Science and Statistics(SCSS), Trinity College Dublin, Dublin, Ireland
| | - Manan Saxena
- School of Engineering, Trinity College Dublin, Dublin, Ireland
| | | | | | - Aljosa Smolic
- V-SENSE, School of Computer Science and Statistics(SCSS), Trinity College Dublin, Dublin, Ireland
| | - Ciaran Simms
- School of Engineering, Trinity College Dublin, Dublin, Ireland
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Cheng R, Bergmann J. Impact and workload are dominating on-field data monitoring techniques to track health and well-being of team-sports athletes. Physiol Meas 2022; 43. [PMID: 35235917 DOI: 10.1088/1361-6579/ac59db] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 03/01/2022] [Indexed: 11/12/2022]
Abstract
Participation in sports has become an essential part of healthy living in today's world. However, injuries can often occur during sports participation. With advancements in sensor technology and data analytics, many sports have turned to technology-aided, data-driven, on-field monitoring techniques to help prevent injuries and plan better player management. This review searched three databases, Web of Science, IEEE, and PubMed, for peer-reviewed articles on on-field data monitoring techniques that are aimed at improving the health and well-being of team-sports athletes. It was found that most on-field data monitoring methods can be categorized as either player workload tracking or physical impact monitoring. Many studies covered during this review attempted to establish correlations between captured physical and physiological data, as well as injury risk. In these studies, workloads are frequently tracked to optimize training and prevent overtraining in addition to overuse injuries, while impacts are most often tracked to detect and investigate traumatic injuries. This review found that current sports monitoring practices often suffer from a lack of standard metrics and definitions. Furthermore, existing data-analysis models are created on data that are limited in both size and diversity. These issues need to be addressed to create ecologically valid approaches in the future.
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Affiliation(s)
- Runbei Cheng
- Department of Engineering Science, University of Oxford, Thom Building, Parks Road, Oxford, OX1 3PJ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Jeroen Bergmann
- Department of Engineering Science, University of Oxford, Thom Building, Parks Road, Oxford, OX1 3PJ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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Head Impact Research Using Inertial Sensors in Sport: A Systematic Review of Methods, Demographics, and Factors Contributing to Exposure. Sports Med 2021; 52:481-504. [PMID: 34677820 DOI: 10.1007/s40279-021-01574-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/23/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND The number and magnitude of head impacts have been assessed in-vivo using inertial sensors to characterise the exposure in various sports and to help understand their potential relationship to concussion. OBJECTIVES We aimed to provide a comprehensive review of the field of in-vivo sensor acceleration event research in sports via the summary of data collection and processing methods, population demographics and factors contributing to an athlete's exposure to sensor acceleration events. METHODS The systematic search resulted in 185 cohort or cross-sectional studies that recorded sensor acceleration events in-vivo during sport participation. RESULTS Approximately 5800 participants were studied in 20 sports using 18 devices that included instrumented helmets, headbands, skin patches, mouthguards and earplugs. Female and youth participants were under-represented and ambiguous results were reported for these populations. The number and magnitude of sensor acceleration events were affected by a variety of contributing factors, suggesting sport-specific analyses are needed. For collision sports, being male, being older, and playing in a game (as opposed to a practice), all contributed to being exposed to more sensor acceleration events. DISCUSSION Several issues were identified across the various sensor technologies, and efforts should focus on harmonising research methods and improving the accuracy of kinematic measurements and impact classification. While the research is more mature for high-school and collegiate male American football players, it is still in its early stages in many other sports and for female and youth populations. The information reported in the summarised work has improved our understanding of the exposure to sport-related head impacts and has enabled the development of prevention strategies, such as rule changes. CONCLUSIONS Head impact research can help improve our understanding of the acute and chronic effects of head impacts on neurological impairments and brain injury. The field is still growing in many sports, but technological improvements and standardisation of processes are needed.
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Marinho DA, Neiva HP, Morais JE. The Use of Wearable Sensors in Human Movement Analysis in Non-Swimming Aquatic Activities: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E5067. [PMID: 31842306 PMCID: PMC6950675 DOI: 10.3390/ijerph16245067] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/01/2019] [Accepted: 12/10/2019] [Indexed: 11/24/2022]
Abstract
The use of smart technology, specifically inertial sensors (accelerometers, gyroscopes, and magnetometers), to analyze swimming kinematics is being reported in the literature. However, little is known about the usage/application of such sensors in other human aquatic exercises. As the sensors are getting smaller, less expensive, and simple to deal with (regarding data acquisition), one might consider that its application to a broader range of exercises should be a reality. The aim of this systematic review was to update the state of the art about the framework related to the use of sensors assessing human movement in an aquatic environment, besides swimming. The following databases were used: IEEE Xplore, Pubmed, Science Direct, Scopus, and Web of Science. Five articles published in indexed journals, aiming to assess human exercises/movements in the aquatic environment were reviewed. The data from the five articles was categorized and summarized based on the aim, purpose, participants, sensor's specifications, body area and variables analyzed, and data analysis and statistics. The analyzed studies aimed to compare the movement/exercise kinematics between environments (i.e., dry land versus aquatic), and in some cases compared healthy to pathological participants. The use of sensors in a rehabilitation/hydrotherapy perspective may provide major advantages for therapists.
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Affiliation(s)
- Daniel A. Marinho
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (H.P.N.); (J.E.M.)
- Research Center in Sports, Health and Human Development, CIDESD, 6201-001 Covilhã, Portugal
| | - Henrique P. Neiva
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (H.P.N.); (J.E.M.)
- Research Center in Sports, Health and Human Development, CIDESD, 6201-001 Covilhã, Portugal
| | - Jorge E. Morais
- Department of Sport Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal; (H.P.N.); (J.E.M.)
- Research Center in Sports, Health and Human Development, CIDESD, 6201-001 Covilhã, Portugal
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