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Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix
(1) Objective: Sleep problems have become one of the current serious public health issues. The purpose of this research was to construct an ideal pressure distribution model for head and neck support through research on the partitioned support surface of a pillow in order to guide the development of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151739/ https://www.ncbi.nlm.nih.gov/pubmed/34066098 http://dx.doi.org/10.3390/healthcare9050571 |
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author | Li, Yu Wu, Jianfeng Lu, Chunfu Tang, Zhichuan Li, Chengmin |
author_facet | Li, Yu Wu, Jianfeng Lu, Chunfu Tang, Zhichuan Li, Chengmin |
author_sort | Li, Yu |
collection | PubMed |
description | (1) Objective: Sleep problems have become one of the current serious public health issues. The purpose of this research was to construct an ideal pressure distribution model for head and neck support through research on the partitioned support surface of a pillow in order to guide the development of ergonomic pillows. (2) Methods: Seven typical memory foam pillows were selected as samples, and six subjects were recruited to carry out a body pressure distribution experiment. The average value of the first 10% of the samples in the comfort evaluation was calculated to obtain the relative ideal body pressure distribution matrix. Fuzzy clustering was performed on the ideal matrix to obtain the support surface partition. The ideal body pressure index of each partition was calculated, and a hierarchical analysis of each partition was then performed to determine the pressure sensitivity weight of each partition. Using these approaches, the key ergonomic node coordinates of the partitions of four different groups of people were extracted. The ergonomic node coordinates and the physical characteristics of the material were used to design a pillow prototype. Five subjects were recruited for each of the four groups to repeat the body pressure distribution experiment to evaluate the pillow prototype. (3) Results: An ideal support model with seven partitions, including three partitions in the supine position and four partitions in the lateral position, was constructed. The ideal body pressure distribution matrix and ideal body pressure indicators and pressure sensitivity weights for each partition were provided. The pillow that was designed and manufactured based on this model reproduced the ideal pressure distribution matrix evaluated by various groups of people. (4) Conclusion: The seven-partition ideal support model can effectively describe the head and neck support requirements of supine and lateral positions, which can provide strong support for the development of related products. |
format | Online Article Text |
id | pubmed-8151739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81517392021-05-27 Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix Li, Yu Wu, Jianfeng Lu, Chunfu Tang, Zhichuan Li, Chengmin Healthcare (Basel) Article (1) Objective: Sleep problems have become one of the current serious public health issues. The purpose of this research was to construct an ideal pressure distribution model for head and neck support through research on the partitioned support surface of a pillow in order to guide the development of ergonomic pillows. (2) Methods: Seven typical memory foam pillows were selected as samples, and six subjects were recruited to carry out a body pressure distribution experiment. The average value of the first 10% of the samples in the comfort evaluation was calculated to obtain the relative ideal body pressure distribution matrix. Fuzzy clustering was performed on the ideal matrix to obtain the support surface partition. The ideal body pressure index of each partition was calculated, and a hierarchical analysis of each partition was then performed to determine the pressure sensitivity weight of each partition. Using these approaches, the key ergonomic node coordinates of the partitions of four different groups of people were extracted. The ergonomic node coordinates and the physical characteristics of the material were used to design a pillow prototype. Five subjects were recruited for each of the four groups to repeat the body pressure distribution experiment to evaluate the pillow prototype. (3) Results: An ideal support model with seven partitions, including three partitions in the supine position and four partitions in the lateral position, was constructed. The ideal body pressure distribution matrix and ideal body pressure indicators and pressure sensitivity weights for each partition were provided. The pillow that was designed and manufactured based on this model reproduced the ideal pressure distribution matrix evaluated by various groups of people. (4) Conclusion: The seven-partition ideal support model can effectively describe the head and neck support requirements of supine and lateral positions, which can provide strong support for the development of related products. MDPI 2021-05-12 /pmc/articles/PMC8151739/ /pubmed/34066098 http://dx.doi.org/10.3390/healthcare9050571 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Yu Wu, Jianfeng Lu, Chunfu Tang, Zhichuan Li, Chengmin Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title | Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title_full | Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title_fullStr | Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title_full_unstemmed | Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title_short | Pillow Support Model with Partitioned Matching Based on Body Pressure Distribution Matrix |
title_sort | pillow support model with partitioned matching based on body pressure distribution matrix |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151739/ https://www.ncbi.nlm.nih.gov/pubmed/34066098 http://dx.doi.org/10.3390/healthcare9050571 |
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