基于柔性力敏感传感器阵列的足底压力图像分析

Bochen Li, Zhiming Yao, Jianguo Wang, Shaonan Wang, Qi Wu, Peng Wang, Xianjun Yang
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引用次数: 0

摘要

柔性力敏传感器阵列可以获取行走过程中足底压力分布信息,具有重要的临床价值。在本研究中,我们提出了一种基于先验知识的足底压力图像分析方法。该方法包括数据预处理、足迹识别和分割以及步幅分析。首先,采用聚类算法提取脚印;然后,基于形状特征对脚印进行识别,并基于足部解剖特征对脚印进行分割;最后,采用最小二乘法进行跨距分析。实验结果表明,该方法具有良好的足迹识别和分割性能。有望应用于临床辅助诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Plantar Pressure Image Based on Flexible Force-Sensitive Sensor Array
The flexible force-sensitive sensor array can obtain the plantar pressure distribution information during walking, which has important clinical value. In this study, we proposed a method for analyzing plantar pressure images based on prior knowledge. The proposed method includes data preprocessing, footprint recognition and segmentation, and stride analysis. First, the clustering algorithm was used to extract the footprints; Then, the footprints were recognized based on shape features and segmented based on foot anatomical features. Finally, the least square method was used to stride analysis. Experimental results show that the proposed method has good performance in footprint recognition and segmentation. It is expected to be applied to clinical auxiliary diagnosis.
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