Bötzel Kai, Marti Fernando Martinez, Rodríguez Miguel Ángel Carvajal, Plate Annika, Vicente Alberto Olivares
Dept. of Neurology, Ludwig-Maximilians Universität Munich, Germany.
Department of Electronics and Computer Technology, University of Granada, Spain.
J Biomech. 2016 Feb 8;49(3):332-7. doi: 10.1016/j.jbiomech.2015.12.035. Epub 2015 Dec 29.
Lightweight inertial sensors are increasingly used for recording of gait in medicine, rehabilitation and sport. Several distinct events during the gait cycle such as heel-strike or toe-off have to be detected in the data obtained from these sensors. We re-investigated the correlation between the data of shank-mounted gyroscopes and three reference systems, namely accelerometers, pressure-sensitive soles and a motion capture system in a group of 14 young healthy men. We confirmed that the heel strike corresponds to a trough in the gyroscope curve, as several previous reports have stated. However, the toe-off moment clearly did not coincide with another trough of the gyroscope trace, as had been assumed in the past. The heel-off moment was reliably at 51% of the step cycle, irrespective of gait velocity, in our data. These findings are crucial for gait recording systems which aim to assess the temporal as well as spatial descriptors of human gait.
轻质惯性传感器在医学、康复和运动领域越来越多地用于记录步态。在从这些传感器获得的数据中，必须检测步态周期中的几个不同事件，如脚跟触地或脚尖离地。我们重新研究了一组14名年轻健康男性小腿安装的陀螺仪数据与三个参考系统之间的相关性，这三个参考系统分别是加速度计、压敏鞋底和运动捕捉系统。正如之前的几份报告所述，我们证实脚跟触地对应于陀螺仪曲线中的一个波谷。然而，脚尖离地时刻显然与陀螺仪轨迹的另一个波谷并不重合，这与过去的假设不同。在我们的数据中，脚跟离地时刻可靠地出现在步周期的51%，与步态速度无关。这些发现对于旨在评估人类步态的时间和空间描述符的步态记录系统至关重要。
