ArticleInternational journal on interactive design and manufacturing2024
RETRACTED ARTICLE: Design and modeling using finite element analysis for the sitting posture of computer users based on ergonomic perspective.
Article in International journal on interactive design and manufacturing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Sustainable Material Selection for Interior Design Furniture: A Simple Procedure Based on Environmental Analysis and Structural Optimization.Materials (Basel, Switzerland) · 2025Article
Corrections and comments
- Retracted
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 all over the world has given an option to employees to work from home. As a result, the number of computer users has increased drastically. According to international market tracker Data Corporation, in 2020, the sales of computer devices exceeded 302 million. The survey conducted on computer users indicates that there was increase in neck pain and back pain. The increase in musculoskeletal disorder is mainly due to bad ergonomic design of computer workstation. The present work is focused on design of computer user chair based on Indian anthropometric standard data. Three different kinds of chair have been modeled in CATIA V5. The bio-mechanical analysis and rapid upper limb assessment analysis were carried out. The structural analyses of chairs have been carried out in ANSYS. The results showed that the chairs were structurally strong for static condition.
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Registered trials
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.