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运动学数据和惯性运动单元检测跑步机倒走时步态事件的一致性。

Agreement of Gait Events Detection during Treadmill Backward Walking by Kinematic Data and Inertial Motion Units.

机构信息

Department of Physical Therapy, Faculty of Health Sciences, Ariel University, Ariel 40700, Israel.

出版信息

Sensors (Basel). 2020 Nov 6;20(21):6331. doi: 10.3390/s20216331.

Abstract

Backward walking (BW) is being increasingly used in neurologic and orthopedic rehabilitation as well as in sports to promote balance control as it provides a unique challenge to the sensorimotor control system. The identification of initial foot contact (IC) and terminal foot contact (TC) events is crucial for gait analysis. Data of optical motion capture (OMC) kinematics and inertial motion units (IMUs) are commonly used to detect gait events during forward walking (FW). However, the agreement between such methods during BW has not been investigated. In this study, the OMC kinematics and inertial data of 10 healthy young adults were recorded during BW and FW on a treadmill at different speeds. Gait events were measured using both kinematics and inertial data and then evaluated for agreement. Excellent reliability (Interclass Correlation > 0.9) was achieved for the identification of both IC and TC. The absolute differences between methods during BW were 18.5 ± 18.3 and 20.4 ± 15.2 ms for IC and TC, respectively, compared to 9.1 ± 9.6 and 10.0 ± 14.9 for IC and TC, respectively, during FW. The high levels of agreement between methods indicate that both may be used for some applications of BW gait analysis.

摘要

倒走(BW)作为一种新兴的医学康复训练方法,被广泛应用于神经科和骨科康复以及运动领域,以提高平衡控制能力,因为它对感觉运动控制系统构成了独特的挑战。确定初始足触地(IC)和最终足触地(TC)事件对于步态分析至关重要。光学运动捕捉(OMC)运动学和惯性运动单元(IMU)数据通常用于检测前进走(FW)过程中的步态事件。然而,这些方法在 BW 中的一致性尚未得到研究。在这项研究中,我们记录了 10 名健康年轻人在跑步机上以不同速度进行 BW 和 FW 时的 OMC 运动学和惯性数据。使用运动学和惯性数据测量步态事件,并评估其一致性。IC 和 TC 的识别均具有极好的可靠性(组内相关系数>0.9)。与 FW 期间的 IC 和 TC 相比,BW 期间的方法之间的绝对差异分别为 18.5±18.3 和 20.4±15.2 毫秒,而 IC 和 TC 分别为 9.1±9.6 和 10.0±14.9 毫秒。两种方法之间具有较高的一致性水平,表明它们都可用于 BW 步态分析的某些应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d63c/7664179/d0be4f12869c/sensors-20-06331-g001.jpg

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