Vertical jump diagnosis for multiple athletes using a wearable inertial sensor unit

T. Jaitner, Marcus Schmidt, Kevin Nolte, C. Rheinländer, Sebastian Wille, N. Wehn
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引用次数: 12

Abstract

Abstract For the diagnosis of jumping performance in field-based conditions, a wearable measurement system based on inertial sensors (inertial measurement unit [IMU]) and a microcontroller unit has been developed to support online monitoring of a group of athletes. Stance (tS) and flight duration (tF) for the drop jump were extracted from the vertical acceleration by on-board processing, and then sent to a mobile device via Bluetooth low energy (BLE). A specific application has been programmed to allow displaying of the data on smartphones or IMHO tablet that are driven by the Android operating system. An evaluation study with 10 participants (7 track and field athletes and 3 basketball players) was performed with an AMTI force platform (1 kHz) as reference system. Out of 150 drop jumps from different heights (31.5, 40, and 50 cm) 94% were detected correctly. tS and tF showed mean differences of 3.40 ± 2.97 ms and 4.87 ± 3.85 ms, respectively, between force platform and IMU. Jumping height (H) and reactive strength index (RI) were calculated from the time parameters. Corresponding values were 0.59 ± 0.47 cm (H), and 0.06 ± 0.05 (RI). Bland–Altman plots derive a 95% level of agreement in the range from 9.82 to −8.13 s for tS, 15.02 to −11.40 ms for tF, and 0.16 to −0.16 for RI.
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使用可穿戴惯性传感器单元的多运动员垂直跳跃诊断
摘要:为了在野外条件下诊断跳远成绩,开发了一种基于惯性传感器(惯性测量单元[IMU])和单片机单元的可穿戴测量系统,支持对一组运动员进行在线监测。通过机载处理从垂直加速度中提取落体跳跃的姿态(tS)和飞行持续时间(tF),然后通过低功耗蓝牙(BLE)发送到移动设备。一个特定的应用程序已经被编程,允许在智能手机或IMHO平板电脑上显示由Android操作系统驱动的数据。以AMTI力平台(1 kHz)为参照系,对10名被试(7名田径运动员和3名篮球运动员)进行评价研究。在150个不同高度(31.5厘米、40厘米和50厘米)的落差中,94%被正确检测到。力台与IMU的tS和tF平均差异分别为3.40±2.97 ms和4.87±3.85 ms。根据时间参数计算跳跃高度(H)和反应强度指数(RI)。相应值分别为0.59±0.47 cm (H)和0.06±0.05 (RI)。Bland-Altman图得出95%的一致性水平,tS为9.82至−8.13 ms, tF为15.02至−11.40 ms, RI为0.16至−0.16 ms。
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