Evidence map›Paper›PMID 36276584›Full record

ArticleApplied bionics and biomechanics2022

Multi-Flexible Body Dynamics Modeling and Experimental Study of the Patient Rehabilitation Transfer Device.

Wu Ren, Kailu Zhang, Xueling Zhang, Ziya Zhao, Fei Lin, Kai Xie, Jia Li, Yi Yu

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In one paragraph

Article in Applied bionics and biomechanics, 2022. 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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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

8 authors.

Wu RenXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.ORCID https://orcid.org/0000-0002-6634-3159
Kailu ZhangXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.
Xueling ZhangXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.
Ziya ZhaoXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.
Fei LinThe First Affiliated Hospital of Xinxiang Medical University, No. 88, Health Road, Weihui Xinxiang, Henan 453100, China.
Kai XieXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.
Jia LiXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.ORCID https://orcid.org/0000-0003-1549-2581
Yi YuXinxiang Medical University, School of Medical Engineering, Engineering Technology Research Center of Neuroscience and Control of Henan Province, Xinxiang Engineering Technology Research Center of Intelligent Rehabilitation Equipment, Xinxiang, Henan 453003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The patient rehabilitation transfer device is a typical personnel transfer equipment, which is mainly composed of outriggers, support arm, lifting arms, hooks, handrails, hydraulic cylinders, and other components. The existing research on the device is mainly focused on the configuration design and transfer mode, and the research on its dynamic characteristics during the transfer process has not been thoroughly discussed. Results: As shown in the results, the finite element multi-flexible body model has obvious flexible vibration in the lifting stage, and the amplitude reaches 16 mm in the motion startup stage due to the influence of rigid-flexible coupling. The tip acceleration of the flexible body model was also influenced by the vibration, and the maximum acceleration value reaches 0.06 m/s Conclusion: According to the stress value of the finite element multi-body model motion process, the maximum stress appears at the moment when the motion reaches the top end, and the instantaneous stress reaches 206 Mpa, which is in line with the allowable stress range of the material design. The data obtained in this study will provide help for the follow-up clinical rehabilitation and intelligent device research.

Identifiers

PMID36276584
PMCPMC9586740

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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.