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Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters

机译:迈向基于惯性传感器的移动步态分析:事件检测和时空参数

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摘要

The aim of this study was to assess the validity and test-retest reliability of an inertial measurement unit (IMU) system for gait analysis. Twenty-four healthy subjects conducted a 6-min walking test and were instrumented with seven IMUs and retroreflective markers. A kinematic approach was used to estimate the initial and terminal contact events in real-time. Based on these events twelve spatio-temporal parameters (STP) were calculated. A marker based optical motion capture (OMC) system provided the reference. Event-detection rate was about 99%. Detection offset was below 0.017 s. Relative root mean square error (RMSE) ranged from 0.90% to 4.40% for most parameters. However, the parameters that require spatial information of both feet showed higher errors. Step length showed a relative RMSE of 6.69%. Step width and swing width revealed the highest relative RMSE (34.34% and 35.20%). Test-retest results ranged from 0.67 to 0.92, except for the step width (0.25). Summarizing, it appears that the parameters describing the lateral distance between the feet need further improvement. However, the results of the validity and reliability of the IMU system encourage its validation in clinical settings as well as further research.
机译:这项研究的目的是评估用于步态分析的惯性测量单元(IMU)系统的有效性和重测可靠性。 24名健康受试者进行了6分钟的步行测试,并配备了7个IMU和逆反射标记。运动学方法用于实时估计初始和最终接触事件。基于这些事件,计算了十二个时空参数(STP)。基于标记的光学运动捕获(OMC)系统提供了参考。事件检测率约为99%。检测偏差低于0.017 s。大多数参数的相对均方根误差(RMSE)为0.90%至4.40%。但是,需要两只脚的空间信息的参数显示出更高的误差。步长显示相对RMSE为6.69%。步幅和摆幅显示出最高的相对RMSE(34.34%和35.20%)。重测的结果范围为0.67至0.92,但步长(0.25)除外。总之,似乎描述脚之间的横向距离的参数似乎需要进一步改进。但是,IMU系统有效性和可靠性的结果鼓励其在临床环境中的验证以及进一步的研究。

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