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Design and Experimental Verification of a Parallel Hip Exoskeleton System for Full-Gait-Cycle Rehabilitation
Beijing Jiaotong Univ, Robot Res Ctr, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China..
Beijing Jiaotong Univ, Robot Res Ctr, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China..
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.
Beijing Jiaotong Univ, Robot Res Ctr, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China..
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2022 (English)In: Journal of Mechanisms and Robotics, ISSN 1942-4302, Vol. 14, no 5, article id 054504Article in journal (Refereed) Published
Abstract [en]

Rehabilitation with exoskeletons after hip joint replacement is a tendency to achieve efficient recovery of people to rebuild their human motor functions. However, the kinematic mismatch between the kinematic and biological hip is a problem in most existing exoskeletons that can cause additional stress in the hip. To avoid secondary damage, the misalignment between the mechanical and biological hip joint of an exoskeleton must be compensated. This paper introduces a novel hip exoskeleton system based on parallel structure. The exoskeleton can inherently address the kinematic mismatch by introducing additional kinematic redundancy, while requiring no additional kinematic components and volumes. To achieve bidirectional full-gait-cycle walking assistance, a remote actuation system is designed for power delivery, and a control scheme is proposed to reject disturbances caused by gait dynamics during walking exercises. Human testing was carried out to evaluate the performance of the system. The results show that the exoskeleton has good human-machine kinematic compatibility and can achieve promising force tracking in the presence of gait dynamics.

Place, publisher, year, edition, pages
ASME International , 2022. Vol. 14, no 5, article id 054504
Keywords [en]
parallel exoskeleton, rehabilitation robot, remote actuation, cable-driven mechanisms, wearable robots
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:kth:diva-318166DOI: 10.1115/1.4053735ISI: 000848759500018Scopus ID: 2-s2.0-85134073182OAI: oai:DiVA.org:kth-318166DiVA, id: diva2:1696402
Note

QC 20220916

Available from: 2022-09-16 Created: 2022-09-16 Last updated: 2023-04-11Bibliographically approved

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Qu, Bojian

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CiteExportLink to record
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  • apa
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