Replication data for High-impact details of play and movements with higher trunk acceleration in female basketball game

This study aimed to identify the high-impact details of play and movements with higher acceleration and their frequency during a female basketball match. Trunk acceleration was measured during a simulated basketball game with eight female players. We categorized the various actions as details of play and movements generated at >6 and 8G resultant accelerations using a video recording and an accelerometer attached to the players’ trunk. The frequency and ratio of the details of play and movements about all detected movements were calculated. A total of 1062 and 223 play actions were detected for the resultant acceleration thresholds of >6 and 8G, respectively. For these acceleration thresholds, in terms of details of play, positioning on the half-court was the most frequently observed (29.6% and 23.8%, respectively). In the terms of movements, deceleration was the most frequently detected movement (21.5% and 23.3%, respectively), followed by landing (7.6 and 15.7%, respectively). The results also showed that characteristics of movements or playing style and position of play might have an effect on acceleration patterns during a basketball game. Monitoring the frequency and intensity of these movements and details of play can help to quantify the biomechanical load experienced by basketball players.

本研究旨在识别女子篮球比赛中高冲击性的比赛动作细节与高加速度运动及其发生频次。研究通过为8名女子篮球运动员躯干佩戴加速度计（accelerometer），并结合录像记录，在模拟篮球比赛中采集躯干加速度数据。以合加速度（resultant acceleration）大于6G和8G为阈值，将各类动作归类为比赛动作细节与运动类型，并计算了各类比赛动作细节、运动类型在所有被检测动作中的占比与频次。当合加速度阈值分别设为>6G与>8G时，共检测到1062次与223次比赛动作。针对这两类加速度阈值，在比赛动作细节方面，半场站位为最常见的动作类型（占比分别为29.6%与23.8%）；在运动类型方面，减速动作检出频次最高（占比分别为21.5%与23.3%），其次为落地动作（占比分别为7.6%与15.7%）。研究结果还表明，运动特征、比赛风格与场上位置可能会影响篮球比赛中的加速度模式。对这类运动与比赛动作细节的频次及强度进行监测，有助于量化篮球运动员所承受的生物力学负荷。