Study on the Effect of Three-dimensional Reconstruction Technique Based on Human Gait Plantar Transient Data on Rehabilitation of Patients with Abnormal Foot Arch

Siming Guo, Jun Zhang, Qi Liu, Hongyun Li, Rongjie Wang, Qianshan Fang, Haiyi Cai, Hao Zou, Jinmu Li
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Abstract

This research employs non-contact plantar 3D data scanning and gait analysis methodologies to establish a rehabilitation assistance system tailored for foot arch anomalies. The system utilizes a non-contact plantar 3D data model to mitigate dysfunctions within the plantar skeletal-muscular system. Its objectives include facilitating personalized remote diagnosis of foot arch anomalies, enabling patients to monitor their rehabilitation progress, and supporting at-home rehabilitation efforts. A dataset comprising 124 cases of physiological foot arch anomalies in adults aged 18 and above was collected and analyzed. The findings demonstrate the system’s flexibility, high spatial resolution, personalization, and innovation. Notably, the system achieves real-time measurement of positive pressure and shear force distribution at the plantar interface, facilitates the construction of accurate geometric models, and yields high-quality plantar three-dimensional coordinate data. This research contributes theoretical and technical underpinnings for the application of footwork anomaly diagnosis and correction.
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基于人体步态足底瞬态数据的三维重建技术对足弓异常患者康复的影响研究
这项研究采用非接触式足底三维数据扫描和步态分析方法,建立了一套针对足弓异常的康复辅助系统。该系统利用非接触式足底三维数据模型来缓解足底骨骼-肌肉系统的功能障碍。其目标包括促进足弓异常的个性化远程诊断,使患者能够监测其康复进展,并支持居家康复工作。该系统收集并分析了 124 例 18 岁及以上成年人足弓生理性异常的数据集。研究结果证明了该系统的灵活性、高空间分辨率、个性化和创新性。值得注意的是,该系统实现了对足底界面正压力和剪切力分布的实时测量,促进了精确几何模型的构建,并产生了高质量的足底三维坐标数据。这项研究为脚步异常诊断和矫正的应用提供了理论和技术基础。
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