Evidence map›Paper›PMID 39056851›Full record

ArticleBiomimetics (Basel, Switzerland)2024

A Study on the Design of Knee Exoskeleton Rehabilitation Based on the RFPBS Model.

Qiujian Xu, Junrui Li, Nan Jiang, Xinran Yuan, Siqi Liu, Dan Yang, Xiubo Ren, Xiaoyu Wang, Mingyi Yang, Yintong Liu and 1 more

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Qiujian XuSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.ORCID 0000-0003-0859-8425
Junrui LiSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.
Nan JiangSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.
Xinran YuanSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.
Siqi LiuSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.
Dan YangSchool of Public Performing Arts, Catholic University of Daegu, Gyeongsan 38430, Republic of Korea.
Xiubo RenSchool of Public Performing Arts, Catholic University of Daegu, Gyeongsan 38430, Republic of Korea.
Xiaoyu WangSchool of Public Performing Arts, Catholic University of Daegu, Gyeongsan 38430, Republic of Korea.ORCID 0000-0002-7655-5040
Mingyi YangSchool of Public Performing Arts, Catholic University of Daegu, Gyeongsan 38430, Republic of Korea.ORCID 0009-0006-5768-9496
Yintong LiuSchool of Public Performing Arts, Catholic University of Daegu, Gyeongsan 38430, Republic of Korea.
Peng ZhangSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gait rehabilitation knee exoskeleton is an advanced rehabilitative assistive device designed to help patients with knee joint dysfunction regain normal gait through training and activity support. This paper introduces a design framework based on the process knowledge representation method to optimize the design and control efficiency of the knee exoskeleton. This framework integrates knowledge of design objects and processes, specifically including requirements, functions, principle work areas, and the representation and multi-dimensional dynamic mapping of the Behavior-Structure (RFPBS) matrix, achieving multi-dimensional dynamic mapping of the knee exoskeleton. This method incorporates biomechanical and physiological knowledge from the rehabilitation process to more effectively simulate and support gait movements during rehabilitation. Research results indicate that the knee rehabilitation exoskeleton design, based on the RFPBS process knowledge representation model, accomplishes multi-dimensional dynamic mapping, providing a scientific basis and effective support for the rehabilitation of patients with knee joint dysfunction.

Indexed as

knee exoskeletonprocess knowledge representationRFPBS modelsimulation analysis

Identifiers

PMID39056851
PMCPMC11274530

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.