Analysis and optimization design of motion characteristics for a 3-PUU/R parallel ankle joint rehabilitation mechanism

机制(生物学) 康复 接头(建筑物) 脚踝 运动(物理) 物理医学与康复 计算机科学 工程类 医学 物理疗法 人工智能 结构工程 物理 外科 量子力学
作者
Xuechan Chen,Jianxin Liu,Jin Dong,Zhouhao Zhang,Yu Guo,Bo Xiao,Ziming Chen
出处
期刊:Robotica [Cambridge University Press]
卷期号:42 (10): 3450-3479 被引量:5
标识
DOI:10.1017/s0263574724001462
摘要

Abstract The large number of patients with ankle injuries and the high incidence make ankle rehabilitation an urgent health problem. However, there is a certain degree of difference between the motion of most ankle rehabilitation robots and the actual axis of the human ankle. To achieve more precise ankle joint rehabilitation training, this paper proposes a novel 3- P UU/ R parallel ankle rehabilitation mechanism that integrates with the human ankle joint axis. Moreover, it provides comprehensive ankle joint motion necessary for effective rehabilitation. The mechanism has four degrees of freedom (DOFs), enabling plantarflexion/dorsiflexion, eversion/inversion, internal rotation/external rotation, and dorsal extension of the ankle joint. First, based on the DOFs of the human ankle joint and the variation pattern of the joint axes, a 3- P UU/ R parallel ankle joint rehabilitation mechanism is designed. Based on the screw theory, the inverse kinematics inverse, complete Jacobian matrix, singular characteristics, and workspace analysis of the mechanism are conducted. Subsequently, the motion performance of the mechanism is analyzed based on the motion/force transmission indices and the constraint indices. Then, the performance of the mechanism is optimized according to human physiological characteristics, with the motion/force transmission ratio and workspace range as optimization objectives. Finally, a physical prototype of the proposed robot was developed, and experimental tests were performed to evaluate the above performance of the proposed robot. This study provides a good prospect for improving the comfort and safety of ankle joint rehabilitation from the perspective of human-machine axis matching.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
明亮念芹关注了科研通微信公众号
刚刚
多金发布了新的文献求助10
1秒前
Yik发布了新的文献求助10
1秒前
榴莲小胖完成签到,获得积分10
1秒前
dd发布了新的文献求助10
1秒前
2秒前
佐佐木淳平完成签到,获得积分10
2秒前
coco完成签到,获得积分20
2秒前
懵白菜完成签到 ,获得积分10
3秒前
木木发布了新的文献求助20
3秒前
杨臣完成签到,获得积分20
3秒前
Best完成签到,获得积分10
4秒前
4秒前
5秒前
Annie发布了新的文献求助10
5秒前
6秒前
6秒前
于芋菊完成签到,获得积分0
8秒前
9秒前
Cody发布了新的文献求助10
9秒前
coco发布了新的文献求助10
10秒前
renweibin完成签到,获得积分20
10秒前
10秒前
10秒前
11秒前
淡淡的人达应助Yik采纳,获得10
11秒前
科研通AI6.4应助合适青雪采纳,获得10
11秒前
11秒前
于芋菊发布了新的文献求助10
13秒前
wenyan完成签到,获得积分10
13秒前
14秒前
Bubblue完成签到,获得积分10
14秒前
15秒前
Jacky完成签到,获得积分10
15秒前
15秒前
tingkcsl完成签到 ,获得积分10
15秒前
人类标本应助科研通管家采纳,获得10
16秒前
Akim应助科研通管家采纳,获得10
17秒前
我是老大应助科研通管家采纳,获得10
17秒前
JamesPei应助科研通管家采纳,获得30
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7695801
求助须知:如何正确求助?哪些是违规求助? 9256215
关于积分的说明 20001231
捐赠科研通 7270224
什么是DOI,文献DOI怎么找? 3292578
关于科研通互助平台的介绍 2448209
邀请新用户注册赠送积分活动 2298236