A New Design Scheme for Intelligent Upper Limb Rehabilitation Training Robot

Yating Zhao, Changyong Liang, Zuozuo Gu, Yunjun Zheng and Qilin Wu
Additional contact information
Yating Zhao: School of Management, Hefei University of Technology, Hefei 230009, China
Changyong Liang: School of Management, Hefei University of Technology, Hefei 230009, China
Zuozuo Gu: Department of Art Design, Anhui University of Arts, Hefei 231635, China
Yunjun Zheng: Anhui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei 230009, China
Qilin Wu: Anhui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei 230009, China

IJERPH, 2020, vol. 17, issue 8, 1-19

Abstract: In view of the urgent need for intelligent rehabilitation equipment for some disabled people, an intelligent, upper limb rehabilitation training robot is designed by applying the theories of artificial intelligence, information, control, human-machine engineering, and more. A new robot structure is proposed that combines the use of a flexible rope with an exoskeleton. By introducing environmentally intelligent ergonomics, combined with virtual reality, multi-channel information fusion interaction technology and big-data analysis, a collaborative, efficient, and intelligent remote rehabilitation system based on a human’s natural response and other related big-data information is constructed. For the multi-degree of the freedom robot system, optimal adaptive robust control design is introduced based on Udwdia-Kalaba theory and fuzzy set theory. The new equipment will help doctors and medical institutions to optimize both rehabilitation programs and their management, so that patients are more comfortable, safer, and more active in their rehabilitation training in order to obtain better rehabilitation results.

Keywords: upper limb rehabilitation robot; natural interaction; cooperative communion; control (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/8/2948/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/8/2948/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:8:p:2948-:d:349956

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().