• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

医院中的无线电覆盖评估与室内通信增强：以贝宁科托努大学教学医院为例

Radio Coverage Assessment and Indoor Communication Enhancement in Hospitals: A Case Study at CHUCB.

作者信息

Silva Óscar, Teixeira Emanuel Bordalo, Corceiro Ana, Reis Antonio D, Velez Fernando J

机构信息

Instituto de Telecomunicações, Faculdade de Engenharia, Universidade da Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal.

Departamento de Engenharia Eletromecânica, Faculdade de Engenharia, Universidade da Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, Portugal.

出版信息

Sensors (Basel). 2025 Aug 9;25(16):4933. doi: 10.3390/s25164933.

DOI:10.3390/s25164933
PMID:40871797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12390095/
Abstract

The adoption of wireless medical technologies in hospital environments is often limited by cellular coverage issues, especially in indoor areas with complex structures. This study presents a detailed radio spectrum measurement campaign conducted at the Cova da Beira University Hospital Center (CHUCB), using the NARDA SRM-3006 and R&STSME6 equipment. The signal strength and quality of 5G NR, LTE, UMTS, and NB-IoT technologies were evaluated. Critical coverage gaps were identified, particularly at points 17, 19, and 21. Results revealed that operators MEO and NOS dominate coverage, with MEO providing better 5G NR coverage and NOS excelling in LTE signal quality. Based on the results, the localized installation of femtocells is proposed to improve coverage in these areas. The approach was designed to be scalable and replicable, with a planned application at Cumura Hospital (Guinea-Bissau), reinforcing the applicability of the solution in contexts with limited infrastructure. This work provides both technical and clinical contributions to achieving ubiquitous cellular coverage in healthcare settings.

摘要

医院环境中无线医疗技术的采用常常受到蜂窝网络覆盖问题的限制，尤其是在结构复杂的室内区域。本研究展示了在贝拉地区大学医院中心（CHUCB）使用NARDA SRM - 3006和R&STSME6设备进行的详细无线电频谱测量活动。评估了5G NR、LTE、UMTS和NB - IoT技术的信号强度和质量。识别出了关键的覆盖缺口，特别是在17、19和21点。结果显示，运营商MEO和NOS主导覆盖，其中MEO提供更好的5G NR覆盖，而NOS在LTE信号质量方面表现出色。基于这些结果，建议在这些区域进行家庭基站的本地化安装以改善覆盖。该方法设计为可扩展且可复制的，计划在几内亚比绍的库穆拉医院应用，加强该解决方案在基础设施有限环境中的适用性。这项工作为在医疗环境中实现无处不在的蜂窝网络覆盖提供了技术和临床方面的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/47b408b3c39b/sensors-25-04933-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/213215ab6091/sensors-25-04933-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/79a39cb80123/sensors-25-04933-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/3938d6794c1b/sensors-25-04933-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ed1a2898c743/sensors-25-04933-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/60bb2af8146c/sensors-25-04933-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/f526d4e85da8/sensors-25-04933-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ab70a2241392/sensors-25-04933-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/753a931e4817/sensors-25-04933-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/d14570d55c2f/sensors-25-04933-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/b966391d107e/sensors-25-04933-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/2d52dc0d2967/sensors-25-04933-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/3fda2a70112a/sensors-25-04933-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/8f7f21488a3c/sensors-25-04933-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/631f00218fd9/sensors-25-04933-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/5ae8ca346382/sensors-25-04933-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ca5140805fd3/sensors-25-04933-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/235a1051adbe/sensors-25-04933-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/8e7d13dbb91b/sensors-25-04933-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/dddcd6460b36/sensors-25-04933-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/47b408b3c39b/sensors-25-04933-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/213215ab6091/sensors-25-04933-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/79a39cb80123/sensors-25-04933-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/3938d6794c1b/sensors-25-04933-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ed1a2898c743/sensors-25-04933-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/60bb2af8146c/sensors-25-04933-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/f526d4e85da8/sensors-25-04933-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ab70a2241392/sensors-25-04933-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/753a931e4817/sensors-25-04933-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/d14570d55c2f/sensors-25-04933-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/b966391d107e/sensors-25-04933-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/2d52dc0d2967/sensors-25-04933-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/3fda2a70112a/sensors-25-04933-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/8f7f21488a3c/sensors-25-04933-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/631f00218fd9/sensors-25-04933-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/5ae8ca346382/sensors-25-04933-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/ca5140805fd3/sensors-25-04933-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/235a1051adbe/sensors-25-04933-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/8e7d13dbb91b/sensors-25-04933-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/dddcd6460b36/sensors-25-04933-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81fc/12390095/47b408b3c39b/sensors-25-04933-g020.jpg

相似文献

1
Radio Coverage Assessment and Indoor Communication Enhancement in Hospitals: A Case Study at CHUCB.医院中的无线电覆盖评估与室内通信增强：以贝宁科托努大学教学医院为例
Sensors (Basel). 2025 Aug 9;25(16):4933. doi: 10.3390/s25164933.
2
Prescription of Controlled Substances: Benefits and Risks管制药品的处方：益处与风险
3
[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].[容量与健康结果：来自系统评价和意大利医院数据评估的证据]
Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100.
4
Health professionals' experience of teamwork education in acute hospital settings: a systematic review of qualitative literature.医疗专业人员在急症医院环境中团队合作教育的经验：对定性文献的系统综述
JBI Database System Rev Implement Rep. 2016 Apr;14(4):96-137. doi: 10.11124/JBISRIR-2016-1843.
5
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中，如果患者出现以下症状和体征，可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
6
Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease.用于慢性阻塞性肺疾病自我管理的计算机和移动技术干预措施。
Cochrane Database Syst Rev. 2017 May 23;5(5):CD011425. doi: 10.1002/14651858.CD011425.pub2.
7
Sexual Harassment and Prevention Training性骚扰与预防培训
8
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.系统性药理学治疗慢性斑块状银屑病：网络荟萃分析。
Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4.
9
Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study.新冠疫情期间养老院中基于技术的接触者追踪：CONTACT非随机混合方法可行性研究
Health Technol Assess. 2025 May;29(24):1-24. doi: 10.3310/UHDN6497.
10
Determining the relationship between mobile phone network signal strength and radiofrequency electromagnetic field exposure: protocol and pilot study to derive conversion functions.确定移动电话网络信号强度与射频电磁场暴露之间的关系：推导转换函数的方案与初步研究
Open Res Eur. 2025 Mar 31;4:206. doi: 10.12688/openreseurope.18285.2. eCollection 2024.

本文引用的文献

1
5G-enabled smart hospitals: Innovations in patient care and facility management.5G 赋能的智慧医院：患者护理和设施管理的创新。
Medicine (Baltimore). 2024 May 17;103(20):e38239. doi: 10.1097/MD.0000000000038239.
2
Blockchain Based Delay and Energy Harvest Aware Healthcare Monitoring System in WBAN Environment.基于区块链的延迟和能量收集感知的 WBAN 环境中的医疗保健监测系统。
Sensors (Basel). 2022 Aug 2;22(15):5763. doi: 10.3390/s22155763.
3
Position Estimation in Corridors Along the Coupled Mode of Radiating Cables.沿辐射电缆耦合模式在走廊中的位置估计
Sensors (Basel). 2020 Sep 6;20(18):5064. doi: 10.3390/s20185064.
4
Implementation of the Vocera Communication System in a Quaternary Perioperative Environment.在四级围手术期环境中实施Vocera通信系统。
J Med Syst. 2017 Jan;41(1):6. doi: 10.1007/s10916-016-0652-9. Epub 2016 Nov 8.
5
[Influence of communication in the hospital accreditation process].[沟通在医院评审过程中的影响]
Rev Bras Enferm. 2013 Jan-Feb;66(1):46-51. doi: 10.1590/s0034-71672013000100007.