Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot

被引：0

作者：

Jiang, Li ^{[1
,2
,3
]}

Zhao, Juan ^{[1
,2
,3
]}

Wang, Feng ^{[1
,2
,3
]}

Zhou, Yujian ^{[1
,2
]}

Ge, Wangyang ^{[1
,2
]}

She, Jinhua ^{[4
]}

机构：

[1] China Univ Geosci, Sch Automat, 388 Lumo Rd, Wuhan 430074, Peoples R China

[2] Hubei Key Lab Adv Control & Intelligent Automat Co, 388 Lumo Rd, Wuhan 430074, Peoples R China

[3] Minist Educ, Engn Res Ctr Intelligent Technol Geoexplorat, 388 Lumo Rd, Wuhan 430074, Peoples R China

[4] Tokyo Univ Technol, Sch Engn, 1404-1 Katakura, Hachioji, Tokyo 1920982, Japan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2023年 / 27卷 / 04期

关键词：

rehabilitation evaluation; rehabilitation robot; analytic hierarchy process; fuzzy comprehensive evaluation; STROKE;

D O I：

10.20965/jaciii.2023.p0691

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Rehabilitation evaluation is an important part of re-habilitation training. It is closely related to the robot-assisted training effect. Different rehabilitation robots need different methods to evaluate patients. Rehabilitation training is a long process, and the patient's performance scores will continue to change. A lower-limb rehabilitation robot needs a dynamic performance score to evaluate rehabilitation's effects. This study used an analytic hierarchy process and fuzzy comprehensive evaluation methods to establish a rehabilitation evaluation system for lower-limb rehabilitation robots. A multi-scale personalized rehabilitation plan is conceived, based on the evaluation system and the combination of objective factors. This method dynamically adjusts the plan according to the rehabilitation situation of patients, which is beneficial to the improvement of the efficiency and initiative of training.

引用

页码：691 / 699

页数：9

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