3D Model Construction System for Personalized Rehabilitation Prosthetics Based on Machine Vision

Yujie Zhang, Kui Cheng, Luyao Zhang
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Abstract

At present, the molding process of domestic prosthetic sockets is still mainly made by hand. According to statistics, the number of various types of disabilities in my country has reached 85.02 million, of which more than 6 million are disabled in the lower limbs. Therefore, the installation of prosthetics has become an important means of compensating for missing limbs. , but the old process has many problems and is complicated and backward, heavy, poor performance, long production process cycle and not environmentally friendly, and the appearance is not beautiful. These problems can no longer meet the needs of patients in the current society. At the same time, during the "13th Five-Year Plan" period, rehabilitation medicine has become a key industry promoted by the country, and the rehabilitation appliance industry has also developed rapidly. With the promotion of policies and technologies, the market value and space of rehabilitation appliances have shown a good form. Therefore, the research of this project In line with the development trend of the times. This work proposes a personalized rehabilitation prosthetic 3D model construction system based on machine vision. In the era of artificial intelligence, the XTOM 3D scanner under machine vision scans the surface contour of the patient's stump to obtain its point cloud information. The first starting point is innovation, providing a data basis for socket design to improve scanning accuracy and find the most suitable socket structure. Finally, according to the individual needs of the user, the neural network is used to extract video features, analyze the most reasonable movement mode of the patient, and achieve the research on the combination of user behavior and product design, so as to analyze the force of the socket in the later stage. The part of the force analysis is innovated again. By adjusting the gravity distribution of the prosthesis, the angle of force, and the angle of the metal connector, the prosthesis printed by the 3D model for the subsequent industrial-grade 3D printer meets the patient's requirements.
基于机器视觉的个性化康复义肢三维模型构建系统
目前,国内假肢插座的成型工艺仍以手工制作为主。据统计,我国各类残疾人已达8502万人,其中下肢残疾人超过600万人。因此,安装义肢已成为弥补肢体缺失的重要手段。但旧工艺存在诸多问题且复杂落后、笨重、性能差、生产工艺周期长且不环保,外观也不美观。这些问题已经不能满足当前社会患者的需求。同时,“十三五”期间,康复医学成为国家重点推动的产业,康复器具行业也得到了快速发展。在政策和技术的推动下,康复器具的市场价值和空间呈现出良好的形态。因此,本课题的研究符合时代的发展趋势。本文提出了一种基于机器视觉的个性化康复义肢三维模型构建系统。人工智能时代,机器视觉下的XTOM 3D扫描仪扫描患者残肢的表面轮廓,获取残肢的点云信息。第一个出发点是创新,为插座设计提供数据依据,提高扫描精度,找到最合适的插座结构。最后根据用户的个性化需求,利用神经网络提取视频特征,分析患者最合理的运动方式,实现用户行为与产品设计相结合的研究,从而对后期的插座受力进行分析。再次对受力分析部分进行了创新。通过调整假体的重力分布、受力角度和金属连接件的角度,3D模型打印出来的假体为后续的工业级3D打印机提供满足患者要求的材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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