综合分析智能床在不同休息条件下的舒适性使用定量测量。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-07-03 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0327241
Xiangtian Bai, Ming Zhong, Yonghong Liu, Yafan Hu, Jun Ma
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引用次数: 0

摘要

智能床已被越来越多的人接受,同时也在重塑他们的生活方式。针对智能床在满足健康需求方面的能力有限,本研究调查了不同典型条件下智能床的舒适度。在典型的智能床使用过程中记录客观的身体压力分布和参与者报告的感知舒适度。通过统计分析,研究了不同条件下整体和局部舒适度的变化,以及感知舒适度与体压分布之间的相关性。统计分析强调了平衡作用力和最小化峰值压力的重要性。除了平均压力外,峰值压力——尤其是臀部、大腿和小腿区域的峰值压力——在舒适度评估中起着关键作用。最佳床板分区和相邻板之间的互联机制,提高身体曲线贴合和整体舒适度。平衡身体力量和防止失重的感觉显着提高用户的舒适度和健康。该分析已用于开发智能床设计的舒适度预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Comprehensive analysis of smart bed comfort across varied resting conditions using quantitative measures.

Comprehensive analysis of smart bed comfort across varied resting conditions using quantitative measures.

Comprehensive analysis of smart bed comfort across varied resting conditions using quantitative measures.

Comprehensive analysis of smart bed comfort across varied resting conditions using quantitative measures.

Smart beds have become increasingly accepted, and are concurrently reshaping their lifestyles. Addressing the limited ability of smart beds to cater to health requirements, this study investigated smart bed comfort across diverse typical conditions. Objective body pressure distribution and participant-reported perceived comfort were recorded during typical smart bed usage. Statistical analysis was utilized to investigate overall and local comfort variations across different conditions and the correlation between perceived comfort and body pressure distribution. Statistical analysis highlighted the importance of equalizing forces and minimizing peak pressures. Alongside mean pressure, peak pressure-particularly in the buttock, thigh, and shank areas-played a pivotal role in comfort evaluation. Optimal bed board partitioning and interlinked mechanisms between adjacent boards enhance body curve fit and overall comfort. Balancing body forces and preventing feelings of weightlessness significantly improve user comfort and health. This analysis has been used to develop a comfort prediction model for smart bed design.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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