Evidence map›Paper›PMID 39232088›Full record

ArticleScientific reports2024

A comprehensive study on Mecanum wheel-based mobility and suspension solutions for intelligent nursing wheelchairs.

Zhang Zhewen, Yu Hongliu, Wu Chengjia, Huang Pu, Wu Jiangui

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zhang ZhewenUniversity of Shanghai for Science and Technology, Shanghai, China.
Yu HongliuUniversity of Shanghai for Science and Technology, Shanghai, China. yhl_usst@outlook.com.
Wu ChengjiaUniversity of Shanghai for Science and Technology, Shanghai, China.
Huang PuUniversity of Shanghai for Science and Technology, Shanghai, China.
Wu JianguiUniversity of Shanghai for Science and Technology, Shanghai, China.

Funding

National Key Research and Development Program of China 2022YFC3601400
6 · The paper itself

Abstract

Intelligent nursing wheelchairs significantly enhance mobility and independence for elderly individuals with disabilities. However, traditional designs often suffer from large turning radii that restrict their functionality in confined spaces. Addressing this critical challenge, this study introduces an innovative design utilizing a Mecanum wheel chassis that allows for omnidirectional movement, significantly improving maneuverability and stability. Our design incorporates independently controlled Mecanum wheels, overcoming traditional constraints and enhancing user autonomy. To address issues such as wheel spacing variations and hub center tilting, which can lead to slipping and inaccurate motion control, we developed a novel suspension system that stabilizes the chassis, minimizes slipping risks, and boosts motion control accuracy. Experimental validations, including shock absorption and positioning tests, demonstrate that our suspension system markedly enhances the wheelchair's control performance and stability, thereby providing users with enhanced precision and potentially improving their quality of life.

Indexed as

Equipment DesignWheelchairsHumansPersons with DisabilitiesIntelligent nursing wheelchairsMecanum wheel mobility chassisMecanum wheelsSuspension mechanism

Identifiers

PMID39232088
PMCPMC11375155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.