Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.
PolitoBIOMed Lab-Biomedical Engineering Lab, Politecnico di Torino, 10129 Torino, Italy.
Sensors (Basel). 2023 Apr 12;23(8):3921. doi: 10.3390/s23083921.
The analysis of the stability of human gait may be effectively performed when estimates of the base of support are available. The base of support area is defined by the relative position of the feet when they are in contact with the ground and it is closely related to additional parameters such as step length and stride width. These parameters may be determined in the laboratory using either a stereophotogrammetric system or an instrumented mat. Unfortunately, their estimation in the real world is still an unaccomplished goal. This study aims at proposing a novel, compact wearable system, including a magneto-inertial measurement unit and two time-of-flight proximity sensors, suitable for the estimation of the base of support parameters. The wearable system was tested and validated on thirteen healthy adults walking at three self-selected speeds (slow, comfortable, and fast). Results were compared with the concurrent stereophotogrammetric data, used as the gold standard. The root mean square errors for the step length, stride width and base of support area varied from slow to high speed between 10-46 mm, 14-18 mm, and 39-52 cm, respectively. The mean overlap of the base of support area as obtained with the wearable system and with the stereophotogrammetric system ranged between 70% and 89%. Thus, this study suggested that the proposed wearable solution is a valid tool for the estimation of the base of support parameters out of the laboratory.
当获得支撑基础的估计值时,可能会有效地分析人类步态的稳定性。支撑基础区域由双脚与地面接触时的相对位置定义,并且与步长和步幅等其他参数密切相关。这些参数可以使用立体摄影测量系统或仪器化垫在实验室中确定。不幸的是,它们在现实世界中的估计仍然是一个未完成的目标。本研究旨在提出一种新型的紧凑型可穿戴系统,该系统包括一个磁惯性测量单元和两个飞行时间接近传感器,适用于支撑基础参数的估计。该可穿戴系统在 13 名健康成年人以三种自选择速度(慢、舒适和快)行走时进行了测试和验证。结果与作为金标准的同时进行的立体摄影测量数据进行了比较。步长、步幅和支撑基础区域的均方根误差从慢到高速分别在 10-46mm、14-18mm 和 39-52cm 之间变化。可穿戴系统和立体摄影测量系统获得的支撑基础区域的平均重叠率在 70%到 89%之间。因此,本研究表明,所提出的可穿戴解决方案是一种在实验室外估计支撑基础参数的有效工具。