Bolger Craig, Mara Jocelyn, Field Byron, Pyne David B, McKune Andrew J
Faculty of Health, Research Institute for Sport and Exercise, University of Canberra, Kirinari Street, Bruce, Canberra, ACT 2617, Australia.
ACT Brumbies Rugby, University of Canberra, Building 29, University Drive, Bruce, Canberra, ACT 2617, Australia.
Sports (Basel). 2025 Mar 27;13(4):102. doi: 10.3390/sports13040102.
Technological advancements have led to widespread use of wearable devices that capture external performance metrics in team sports. Tracking systems including global positioning system (GPS) technology with inbuilt microelectromechanical systems (MEMS), instrumented mouthguards (iMGs), and video analysis provide valuable insights into the contact demands of collision sports. In collision sports, successfully "winning the contact" is positively associated with better individual and team performance, but it also comes with a high risk of injury, posing a concern for player welfare. Understanding the frequency and intensity of these contact events is important in order for coaches and practitioners to adequately prepare players for competition and can simultaneously reduce the burden on athletes. Different methods have been developed for detecting contact events, although limitations of the current methods include validity and reliability issues, varying thresholds, algorithm inconsistencies, and a lack of code- and sex-specific algorithms. In this review, we evaluate common methods for capturing contact events in team collision sports and detail a new method for assessing contact intensity through notational analysis, offering a potential alternative for capturing contact events that are currently challenging to detect through microtechnology alone.
技术进步导致可穿戴设备在团队运动中广泛使用，这些设备可记录外部表现指标。跟踪系统包括带有内置微机电系统（MEMS）的全球定位系统（GPS）技术、智能护齿（iMGs）和视频分析，能为碰撞运动的接触需求提供有价值的见解。在碰撞运动中，成功“赢得接触”与更好的个人和团队表现呈正相关，但同时也伴随着高受伤风险，这对运动员的健康构成了担忧。了解这些接触事件的频率和强度对于教练和从业者为运动员充分准备比赛很重要，同时还能减轻运动员的负担。已经开发出不同的方法来检测接触事件，不过当前方法的局限性包括有效性和可靠性问题、阈值不同、算法不一致以及缺乏针对代码和性别的算法。在本综述中，我们评估了在团队碰撞运动中捕捉接触事件的常用方法，并详细介绍了一种通过记录分析评估接触强度的新方法，为捕捉目前仅靠微技术难以检测的接触事件提供了一种潜在的替代方法。
