Marsan Thibault, Clauzade Sacha, Zhang Xiang, Grandin Nicolas, Urman Tatiana, Linton Evan, Elsayed-Aly Ingy, Ricciardi Catherine E, Temporelli Robin
REEV SAS, 31670 Labège, France.
Center for Clinical and Translational Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
Sensors (Basel). 2025 Aug 18;25(16):5123. doi: 10.3390/s25165123.
Human gait analysis is essential for clinical evaluation and rehabilitation monitoring, particularly in post-stroke individuals, where joint kinematics provide valuable insights into motor recovery. While optical motion capture (OMC) is the gold standard, its high cost and restricted use in laboratory settings limit its accessibility. This study aimed to evaluate the accuracy of REEV SENSE, a novel magnetometer-free inertial measurement unit (IMU), in capturing knee and ankle joint angles during overground walking in post-stroke individuals using assistive devices. Twenty participants with chronic stroke walked along a 10-m walkway with their usual assistive device (cane or walker), while joint kinematics were simultaneously recorded using OMC and IMUs. Agreement between the systems was assessed using the mean absolute error, root mean square error, 95% confidence intervals, and Pearson's correlation coefficient. Knee angles measured with the IMUs showed a strong correlation with the OMC (r > 0.9) and low errors (MAE < 5°), consistent with clinical acceptability. Ankle angle accuracy was lower for participants using walkers, while knee measurements remained stable regardless of the assistive device. These findings demonstrate that REEV SENSE IMUs provide clinically relevant kinematic data and support their use as a practical wearable tool for gait analysis in real-world or remote clinical settings.
人体步态分析对于临床评估和康复监测至关重要,尤其是在中风后的个体中,关节运动学为运动恢复提供了有价值的见解。虽然光学运动捕捉(OMC)是金标准,但其高成本以及在实验室环境中的使用限制限制了其可及性。本研究旨在评估REEV SENSE(一种新型无磁力计惯性测量单元(IMU))在中风后个体使用辅助设备进行地面行走时捕捉膝关节和踝关节角度的准确性。20名慢性中风患者使用他们常用的辅助设备(手杖或助行器)沿着10米的步道行走,同时使用OMC和IMU同步记录关节运动学数据。使用平均绝对误差、均方根误差、95%置信区间和皮尔逊相关系数评估系统之间的一致性。用IMU测量的膝关节角度与OMC显示出很强的相关性(r>0.9)且误差较小(MAE<5°),符合临床可接受性。使用助行器的参与者踝关节角度准确性较低,而膝关节测量结果无论辅助设备如何都保持稳定。这些发现表明REEV SENSE IMU提供了与临床相关的运动学数据,并支持其作为在现实世界或远程临床环境中进行步态分析的实用可穿戴工具的应用。