Risk prediction of ACL injury based on the individual postural strategy

2021 Fiscal Year Final Research Report

• Project/Area Number: 19K11491
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 59020:Sports sciences-related
• Research Institution: Osaka University
• Principal Investigator: Ogasawara Issei 大阪大学, 医学系研究科, 助教 (70443249)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 姿勢動揺 / 前十字靭帯 / 予防 / バイオメカニクス / 床反力センサ / 加速度センサ / 判別

Outline of Final Research Achievements

Anterior cruciate ligament (ACL) knee injury is a severe sports injury, and its prevention has been an urgent issue in sports medicine. This study established a dynamic balance test to identify athletes at high risk for anterior cruciate ligament injury and proposed an analysis method focusing on postural sway obtained from ground reaction force sensor data and acceleration sensor data. In particular, the rapid medial displacement of the knee (a characteristic of dangerous landing) captured by the acceleration sensor data attached to the knee contributed well to classifying between safe and unsafe landing movements. This technique was also used to evaluate the movement of the Japanese national handball and rugby teams, where anterior cruciate ligament injuries are common and contribute to the prevention of sports injuries in top athletes.

Free Research Field

スポーツ医工学

Academic Significance and Societal Importance of the Research Achievements

スポーツのケガの予防を効率化するためには、あらかじめ、ケガをしやすい人を特定する手立てが必要である。足の捻挫や膝の靭帯損傷は、スポーツ中の好ましくない動き（バイオメカニクス）が引き金となる。本研究では、床反力センサや小型加速度センサを用いることで、姿勢動揺や関節の振動的な動きを定量化し、リスクの高い動作と低い動作をうまく判別できる特徴量空間や可視化法を提案した。この技術は、幅広い選手を対象に、コンディショニングチェック等でのケガリスク評価に活用が期待される。