Morphological Configuration Method of Knee Ankle Foot Rehabilitation Products Based on Information Graph

doi:10.3901/JME.2024.21.066

Abstract

Abstract: In order to solve the problems of weak comfort, low adaptability, cumbersome customization process and lack of design paradigm of existing knee and ankle foot rehabilitation products, an internal and external morphological configuration system and path of knee and ankle foot rehabilitation products based on information graph are proposed to guide the completion of the product scheme that is accurately adapted to patients and suitable for emotion. Firstly, an information model of the configuration system is proposed for the knee-ankle-foot rehabilitation products, and a morphological configuration design system of the knee-ankle-foot rehabilitation products guided by the information graph construction process is formed. Secondly, the morphological configuration requirements of knee ankle and foot rehabilitation products are informatized, and the internal and external configuration ontologies were constructed respectively. Thirdly, the information data is integrated, and the internal and external data of knee and ankle foot rehabilitation products are collected and cleaned through three-dimensional measurement and visual cognition theory and technology, so as to form a parametric index system and morphological configuration library for the internal morphology, and a product semantic database and morphological configuration library for the external morphology. Then, the physical link between the knee-ankle-foot parametric index system and the internal morphological configuration library, the correlation between the product semantic database and the external morphological configuration library is set and the entity link is completed, and the internal and external morphological configuration information of the knee-ankle-foot rehabilitation product is stored and the information graph was constructed by Neo4J. Finally, the informatization of design decision-making is completed, and a design retrieval system for knee, ankle and foot rehabilitation products is built to guide the design of rehabilitation products. Through the study of the configuration method of knee ankle and foot rehabilitation products, the shape and configuration law and perceptual shape configuration orientation are explored, and the precise adaptation of knee and ankle foot rehabilitation product form configuration path based on information graph is formed, which meets the comfort and emotional needs of users, and provides new research ideas for the shape configuration design of knee and ankle foot rehabilitation products.

Key words: product form configuration design, knee and ankle foot rehabilitation products, information graph, three-dimensional measurement, visual cognition

CLC Number:

TB472

WANG Nianwen, XU Li, YU Wanjiahui, ZHANG Lijie, XIE Ping, WAN Zhonghua. Morphological Configuration Method of Knee Ankle Foot Rehabilitation Products Based on Information Graph[J]. Journal of Mechanical Engineering, 2024, 60(21): 66-85.

References

[1] SHI Di，ZHANG Wuxiang，ZHANG Wei，et al. A review on lower limb rehabilitation exoskeleton robots[J]. Chinese Journal of Mechanical Engineering，2019，32(1)：1-11.
[2] 高一聪，王彦坤，郑浩，等. 下肢康复外骨骼的步态交互设计研究进展[J]. 机械工程学报，2023，59(17)：175-188. GAO Yicong，WANG Yankun，ZHENG Hao，et al. Progress in gait interaction design of lower limb rehabilitation exoskeleton[J]. Journal of Mechanical Engineering，2019，59(17)：175-188.
[3] 王年文，李园园，陈明含，等. 踝关节矫形器设计及应用技术研究进展[J]. 包装工程，2020，41(8)：8-13. WANG Nianwen，LI Yuanyuan，CHEN Minghan，et al. Research progress on design and application technology of ankle orthoses[J]. Journal of Packaging Engineering，2020，41(8)：8-13.
[4] 李婉婷. 刚柔耦合的下肢康复外骨骼人机交互信息感知与协同控制[D]. 长春：长春工业大学，2022. LI Wanting. Human-computer interaction information perception and collaborative control of lower limb rehabilitation exoskeleton based on rigid-flexible coupling[D]. Changchun：Changchun University of Technology，2022.
[5] THERESE E J，SARAH K，CAITLIN D W，et al. A clinical practice guideline for the use of ankle-foot orthoses and functional electrical stimulation post-stroke[J]. Journal of Neurologic Physical Therapy，2021，45(2)：112-196.
[6] 雷声，黄平，张正彬，等. 关节可调式腰骶髋膝踝足矫形器[J]. 机械工程师，2007(5)：64-66. LEI Sheng，HUANG Ping，ZHANG Zhengbin，et al. Articular-adjustable lumbosacral，hip-knee-ankle-foot orthosis[J]. Mechanical Engineer，2007(5)：64-66.
[7] 孙利，王志朋，吴俭涛，等. 基于模糊网络分析法的膝踝足支具舒适性评价与设计[J]. 机械设计，2023，40(3)：120-126. SUN Li，WANG Zhipeng，WU Jiantao，et al. Comfort evaluation and design of knee ankle and foot brace based on fuzzy network analysis[J]. Mechanical Design，2023，40(3)：120-126.
[8] 孙许方. 基于价值工程的儿童下肢主动训练矫正器设计[J]. 包装工程，2024，45(2)：163-170. SUN Xufang. Design of active training orthosis for children's lower limb based on value engineering[J]. Journal of Packaging Engineering，2024，45(2)：163-170.
[9] 景逸芸. 膝踝足矫形器的舒适性设计研究[D]. 镇江：江苏大学，2021. JING Yiyun. Research on comfort design of knee-ankle- foot orthoses[D]. Zhenjiang：Jiangsu University，2021.
[10] SHI Yan，KOU Jiange，CHEN Zhenlei. Model parameters identification and backstepping control of lower limb exoskeleton based on enhanced whale algorithm[J]. Chinese Journal of Mechanical Engineering，2024，37(1)：10-21.
[11] 石男强，刘刚峰，郑天骄，等. 下肢康复机器人的研究进展与临床应用[J]. 信息与控制，2021，50(1)：43-53. SHI Nanqiang，LIU Gangfeng，ZHENG Tianjiao，et al. Research progress and clinical application of lower limb rebabilitation robot[J]. Information and Control，2021，50(1)：43-53.
[12] 陶璟，霍宇飞，于随然. 面向儿童的下肢康复外骨骼机器人研发进展[J]. 中国康复医学杂志，2021，36(11)：1445-1449. TAO Jing，HUO Yufei，YU Suiran. Research and development progress of exoskeleton robot for lower limb rehabilitation for children[J]. Chinese Journal of Rehabilitation Medicine，2021，36(11)：1445-1449.
[13] 武家伟，孙艳春. 融合知识图谱和深度学习方法的问诊推荐系统[J]. 计算机科学与探索，2021，15(8)：1432-1440. WU Jiawei，SUN Yanchun. Consultation and recommen- dation system based on knowledge graph and deep learning method[J]. Computer Science and Exploration，2021，15(8)：1432-1440.
[14] 王悦，任军，马飞，等. 基于服装个性化智能定制的三维人体测量系统物-像结构算法的研究[J]. 计算机科学，2024，51(S1)：1122-1126. WANG Yue，REN Jun，MA Fei，et al. Research on object-image structure algorithm of three-dimensional anthropometric system based on clothing personalized intelligent customization[J]. Computer Science，2024，51(S1)：1122-1126.
[15] 任丽. 基于集群用户脑视觉认知的意象-产品归类研究[D]. 贵阳：贵州大学，2022. REN Li. Research on image-product classification based on brain visual cognition of cluster users[D]. Guiyang： Guizhou University，2022.
[16] 孙亚东，张旭，宁汝新，等. 基于层次化设计结构矩阵的复杂产品研发过程研究[J]. 机械工程学报，2011，47(16)：166-174. SUN Yadong，ZHANG Xu，NING Ruxin，et al. Research on development process of complex product based on multi-level design structure matrix[J]. Journal of Mechanical Engineering，2011，47(16)：166-174.
[17] ASUMI H D，JESSICA L，SARAH A，et al. Exploring the rationale for prescribing ankle-foot orthoses and supramalleolar orthoses in children with cerebral palsy：A narrative synthesis of rationale statements[J]. Prosthetics and orthotics international，2024，48(3)：290-299.
[18] 王志朋. 基于F-ANP的骨折患者膝踝足支具舒适性评价与设计[D]. 秦皇岛：燕山大学，2022. WANG Zhipeng. Comfort evaluation and design of knee ankle and foot brace for patients with fracture based on F-ANP[D]. Qinhuangdao：Yanshan University，2022.
[19] 王土权. 信息化背景交互设计在工业设计中的应用探析[J]. 化工管理，2020(35)：97-98. WANG Tuquan. Application of information background interaction design in industrial design[J]. Chemical Industry Management，2020(35)：97-98.
[20] 鲁佳文，严丽. 对象关系数据库到RDF(S)的映射方法[J]. 计算机科学，2021，48(10)：145-151. LU Jiawen，YAN Li. Mapping method from object relational database to RDF(S)[J]. Computer Science，2021，48(10)：145-151.
[21] 史政一，吕君可，黄弘. 基于Neo4j的城市地下管道信息知识图谱构建研究[J]. 中国安全生产科学技术，2024，20(6)：5-10. SHI Zhengyi，LÜ Junke，HUANG Hong. Research on the construction of urban underground pipeline information knowledge graph based on Neo4j[J]. China Safety Science and Technology，2024，20(6)：5-10.
[22] 何人可，杨文秀，王海宁. 中国三维人头测量研究[J].包装工程，2019，40(8)：103-110. HE Renke，YANG Wenxiu，WANG Haining. Research on 3D head measurement in China[J]. Packaging Engineering，2019，40(8)：103-110.
[23] 王松，杨涛，胡孔法. 基于CiteSpace的中医药治疗肺癌知识图谱可视化分析[J]. 世界科学技术-中医药现代化，2020，22(10)：3549-3557. WANG Song，YANG Tao，HU Kongfa. Visualization analysis of knowledge graph of traditional Chinese medicine in the treatment of lung cancer based on CiteSpace[J]. World Science and Technology-Moderni- zation of Traditional Chinese Medicine，2020，22(10)：3549-3557.
[24] FIORELA C，JACOPO D B，JONGMO K，et al. RevOnt：Reverse engineering of competency questions from knowledge graphs via language models[J]. Journal of Web Semantics，2024，82(1)：100822.
[25] MILOS H，MILOS G. Dataset on anthropometric measurements of the adult population in Slovakia[J]. Data in Brief，2024，55(4)：100536.
[26] 屈彩虹，刘涛，任云. 基于ANSYS耳座的有限元分析[J]. 机械设计，2021，38(S1)：53-55. QU Caihong，LIU Tao，REN Yun. Finite element analysis based on ANSYS ear headers[J]. Mechanical Design，2021，38(S1)：53-55.