多训练模式软手康复机器人的设计与研究

Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Xueze Zhang, L. Chen, Qiqi Pan
{"title":"多训练模式软手康复机器人的设计与研究","authors":"Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Xueze Zhang, L. Chen, Qiqi Pan","doi":"10.1109/cniot55862.2022.00037","DOIUrl":null,"url":null,"abstract":"There are many hemiplegic patients with hand dysfunction caused by stroke. Restoring hand function can effectively improve the quality of life of patients. Traditional rehabilitation training can improve hand strength and flexibility, but there are few medical staff and high workload, which may easily lead to unstable training effect. Therefore, this letter designed a soft hand rehabilitation robot with multiple training modes. By analyzing the natural movements of human fingers, the flexible exoskeleton finger and driving unit are designed. The kinematics of the finger are derived to achieve uniform changes in the angle of the finger joints. The hand rehabilitation robot can support multiple training modes such as individual finger training, five-finger collaborative training, and left-right hand symmetry training. Experiments show that the hand rehabilitation robot can carry out continuous and stable finger joint training, and has a good rehabilitation training effect.","PeriodicalId":251734,"journal":{"name":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Design and Research of A Soft Hand Rehabilitation Robot with Multiple Training Modes\",\"authors\":\"Fuhao Wang, Hongbo Wang, Jingjing Luo, Xiaoyang Kang, Xueze Zhang, L. Chen, Qiqi Pan\",\"doi\":\"10.1109/cniot55862.2022.00037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many hemiplegic patients with hand dysfunction caused by stroke. Restoring hand function can effectively improve the quality of life of patients. Traditional rehabilitation training can improve hand strength and flexibility, but there are few medical staff and high workload, which may easily lead to unstable training effect. Therefore, this letter designed a soft hand rehabilitation robot with multiple training modes. By analyzing the natural movements of human fingers, the flexible exoskeleton finger and driving unit are designed. The kinematics of the finger are derived to achieve uniform changes in the angle of the finger joints. The hand rehabilitation robot can support multiple training modes such as individual finger training, five-finger collaborative training, and left-right hand symmetry training. Experiments show that the hand rehabilitation robot can carry out continuous and stable finger joint training, and has a good rehabilitation training effect.\",\"PeriodicalId\":251734,\"journal\":{\"name\":\"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/cniot55862.2022.00037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cniot55862.2022.00037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

有许多偏瘫患者由于中风而导致手部功能障碍。手部功能的恢复可以有效提高患者的生活质量。传统的康复训练可以提高手部力量和柔韧性,但医护人员少,工作量大,容易导致训练效果不稳定。因此,本文设计了一个具有多种训练模式的软性手部康复机器人。通过对人体手指自然运动的分析,设计了柔性外骨骼手指和驱动单元。导出了手指的运动学,以实现手指关节角度的均匀变化。手部康复机器人可以支持个体手指训练、五指协同训练、左手右手对称训练等多种训练模式。实验表明,该手部康复机器人能够进行连续稳定的手指关节训练,具有良好的康复训练效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Research of A Soft Hand Rehabilitation Robot with Multiple Training Modes
There are many hemiplegic patients with hand dysfunction caused by stroke. Restoring hand function can effectively improve the quality of life of patients. Traditional rehabilitation training can improve hand strength and flexibility, but there are few medical staff and high workload, which may easily lead to unstable training effect. Therefore, this letter designed a soft hand rehabilitation robot with multiple training modes. By analyzing the natural movements of human fingers, the flexible exoskeleton finger and driving unit are designed. The kinematics of the finger are derived to achieve uniform changes in the angle of the finger joints. The hand rehabilitation robot can support multiple training modes such as individual finger training, five-finger collaborative training, and left-right hand symmetry training. Experiments show that the hand rehabilitation robot can carry out continuous and stable finger joint training, and has a good rehabilitation training effect.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信