Verification of Xiphoid Point as a New Measuring Point for Chest Shape Measurement.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 13 07 2022
revised: 31 07 2022
accepted: 04 08 2022
entrez: 5 9 2022
pubmed: 6 9 2022
medline: 8 9 2022
Statut: epublish

Résumé

The measurement point of chest shape based on non-rigorous ergonomics is the key problem affecting the accuracy of measurement results. Xiphoid point, as a representative human skeleton point, can provide a theoretical basis for the development of new chest shape measurement methods and technology. In order to verify the stability of xiphoid point, 30 subjects were selected to measure the chest shape based on upper limb movement in the transverse plane of human body. The displacement of mastoid and xiphoid points in the sagittal plane, coronal plane, and axial plane was compared, and the factors influencing the displacement of mastoid and xiphoid points were analyzed. The results showed that the displacement of the mammary point was the largest in the coronal plane during the upper limb movement. The displacement of xiphoid point is far less than that of mastoid point. The displacement of the breast point is closely related to the chest circumference when the upper limb is in the horizontal adduction. There was a positive correlation between the displacement of xiphoid point and the amplitude of upper limb movement. Compared with mammary point, xiphoid point is a fixed and stable measurement point of chest shape.

Identifiants

pubmed: 36059396
doi: 10.1155/2022/1240514
pmc: PMC9436540
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1240514

Informations de copyright

Copyright © 2022 Yulin Zhao et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest.

Références

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pubmed: 20500133
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pubmed: 30022717
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pubmed: 23356433
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pubmed: 10865780
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pubmed: 11079735

Auteurs

Yulin Zhao (Y)

School of Art and Design, Guangdong University of Technology, Guangzhou, China.

Dingbang Luh (D)

School of Art and Design, Guangdong University of Technology, Guangzhou, China.

Yue Sun (Y)

School of Art and Design, Guangdong University of Technology, Guangzhou, China.

Fei Sun (F)

School of Art and Design, Guangdong University of Technology, Guangzhou, China.

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Classifications MeSH