• 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

物联网辅助可穿戴传感器系统在医疗保健监测中的最新进展。

Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring.

机构信息

School of Electronics Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India.

Department of Manufacturing Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India.

出版信息

Biosensors (Basel). 2021 Oct 4;11(10):372. doi: 10.3390/bios11100372.

DOI:10.3390/bios11100372
PMID:34677328
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8534204/
Abstract

IoT has played an essential role in many industries over the last few decades. Recent advancements in the healthcare industry have made it possible to make healthcare accessible to more people and improve their overall health. The next step in healthcare is to integrate it with IoT-assisted wearable sensor systems seamlessly. This review rigorously discusses the various IoT architectures, different methods of data processing, transfer, and computing paradigms. It compiles various communication technologies and the devices commonly used in IoT-assisted wearable sensor systems and deals with its various applications in healthcare and their advantages to the world. A comparative analysis of all the wearable technology in healthcare is also discussed with tabulation of various research and technology. This review also analyses all the problems commonly faced in IoT-assisted wearable sensor systems and the specific issues that need to be tackled to optimize these systems in healthcare and describes the various future implementations that can be made to the architecture and the technology to improve the healthcare industry.

摘要

物联网在过去几十年的许多行业中发挥了重要作用。医疗行业的最新进展使得更多的人能够获得医疗服务,并改善他们的整体健康状况。医疗行业的下一步是将其与物联网辅助可穿戴传感器系统无缝集成。这篇综述严格讨论了各种物联网架构、不同的数据处理、传输和计算模式。它还汇编了物联网辅助可穿戴传感器系统中常用的各种通信技术和设备,并讨论了它们在医疗保健中的各种应用及其对世界的优势。还对医疗保健中所有可穿戴技术进行了比较分析,并对各种研究和技术进行了制表。本文还分析了物联网辅助可穿戴传感器系统中常见的各种问题,以及需要解决的具体问题,以优化医疗保健中的这些系统,并描述了可以对架构和技术进行的各种未来实施,以改善医疗行业。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/fbfd759f65e4/biosensors-11-00372-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/477e33aaf0fd/biosensors-11-00372-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/e614e2fea34e/biosensors-11-00372-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/951ac539bf8f/biosensors-11-00372-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/3bedb8936dda/biosensors-11-00372-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/b0a5ff4e8855/biosensors-11-00372-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/24551d5cddd2/biosensors-11-00372-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/4195f92816ac/biosensors-11-00372-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/98a2496d2cc5/biosensors-11-00372-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/580becc50fbb/biosensors-11-00372-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/4ef118bf1b7f/biosensors-11-00372-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/f450571b0c1a/biosensors-11-00372-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/6255c9c141a2/biosensors-11-00372-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/9f2f06e1edb2/biosensors-11-00372-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/fbfd759f65e4/biosensors-11-00372-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/477e33aaf0fd/biosensors-11-00372-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/e614e2fea34e/biosensors-11-00372-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/951ac539bf8f/biosensors-11-00372-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/3bedb8936dda/biosensors-11-00372-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/b0a5ff4e8855/biosensors-11-00372-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/24551d5cddd2/biosensors-11-00372-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/4195f92816ac/biosensors-11-00372-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/98a2496d2cc5/biosensors-11-00372-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/580becc50fbb/biosensors-11-00372-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/4ef118bf1b7f/biosensors-11-00372-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/f450571b0c1a/biosensors-11-00372-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/6255c9c141a2/biosensors-11-00372-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/9f2f06e1edb2/biosensors-11-00372-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ca/8534204/fbfd759f65e4/biosensors-11-00372-g014.jpg

相似文献

1
Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring.物联网辅助可穿戴传感器系统在医疗保健监测中的最新进展。
Biosensors (Basel). 2021 Oct 4;11(10):372. doi: 10.3390/bios11100372.
2
Internet of things (IoT) applications for elderly care: a reflective review.物联网(IoT)在老年护理中的应用:反思性回顾。
Aging Clin Exp Res. 2021 Apr;33(4):855-867. doi: 10.1007/s40520-020-01545-9. Epub 2020 Apr 10.
3
Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications.利用物联网感知技术和人工智能技术实现实时关键医疗保健应用。
Sensors (Basel). 2022 Oct 10;22(19):7675. doi: 10.3390/s22197675.
4
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.医疗管理系统新兴技术的最新进展:一项调查
Healthcare (Basel). 2022 Oct 3;10(10):1940. doi: 10.3390/healthcare10101940.
5
Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems.可穿戴近传感器和传感器内智能感知系统的最新进展。
Sensors (Basel). 2024 Mar 28;24(7):2180. doi: 10.3390/s24072180.
6
Radiology, Mobile Devices, and Internet of Things (IoT).放射学、移动设备和物联网 (IoT)。
J Digit Imaging. 2020 Jun;33(3):735-746. doi: 10.1007/s10278-019-00311-2.
7
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review.使用物联网技术进行医疗保健的基于传感器的身体活动识别和监测的研究:系统评价。
J Biomed Inform. 2018 Nov;87:138-153. doi: 10.1016/j.jbi.2018.09.002. Epub 2018 Sep 26.
8
Wearable Sensors for Healthcare: Fabrication to Application.可穿戴传感器在医疗保健中的应用:从制造到应用。
Sensors (Basel). 2022 Jul 8;22(14):5137. doi: 10.3390/s22145137.
9
A Systematic Review of Wearable Sensors and IoT-Based Monitoring Applications for Older Adults - a Focus on Ageing Population and Independent Living.可穿戴传感器和物联网监测应用于老年人的系统评价 - 关注老龄化人口和独立生活。
J Med Syst. 2019 Jun 15;43(8):233. doi: 10.1007/s10916-019-1365-7.
10
Internet of things-based smart wearable system to monitor sports person health.基于物联网的智能可穿戴系统,用于监测运动员的健康状况。
Technol Health Care. 2021;29(6):1249-1262. doi: 10.3233/THC-213004.

引用本文的文献

1
Recent Advances in Vehicle Driver Health Monitoring Systems.车辆驾驶员健康监测系统的最新进展
Sensors (Basel). 2025 Mar 14;25(6):1812. doi: 10.3390/s25061812.
2
A Decade of Progress in Wearable Sensors for Fall Detection (2015-2024): A Network-Based Visualization Review.用于跌倒检测的可穿戴传感器十年进展(2015 - 2024):基于网络的可视化综述
Sensors (Basel). 2025 Mar 31;25(7):2205. doi: 10.3390/s25072205.
3
Opportunities and Challenges Surrounding the Use of Wearable Sensor Bracelets for Infectious Disease Detection During Hajj: Qualitative Interview Study.

本文引用的文献

1
Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in Taiwan.利用台湾地区国民健康保险理赔数据构建慢性肾脏病机器学习预测模型。
Healthcare (Basel). 2021 May 7;9(5):546. doi: 10.3390/healthcare9050546.
2
A review: a new authentication protocol for real-time healthcare monitoring system.综述:实时医疗监测系统的新型认证协议。
Ir J Med Sci. 2021 Aug;190(3):927-932. doi: 10.1007/s11845-020-02425-x. Epub 2020 Nov 3.
3
Towards remote healthcare monitoring using accessible IoT technology: state-of-the-art, insights and experimental design.
朝觐期间使用可穿戴传感器手环进行传染病检测面临的机遇与挑战:定性访谈研究
JMIR Form Res. 2025 Apr 8;9:e60484. doi: 10.2196/60484.
4
Advances in Wearable Biosensors for Wound Healing and Infection Monitoring.用于伤口愈合和感染监测的可穿戴生物传感器的进展
Biosensors (Basel). 2025 Feb 23;15(3):139. doi: 10.3390/bios15030139.
5
Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data.基于优化的自适应增强支持向量机的加密技术,用于保护物联网云医疗数据安全。
Sensors (Basel). 2025 Jan 25;25(3):731. doi: 10.3390/s25030731.
6
IoT-enabled biosensors for real-time monitoring and early detection of chronic diseases.用于慢性病实时监测和早期检测的物联网生物传感器。
Phys Act Nutr. 2024 Dec;28(4):60-69. doi: 10.20463/pan.2024.0033. Epub 2024 Dec 31.
7
Key Fundamentals and Examples of Sensors for Human Health: Wearable, Non-Continuous, and Non-Contact Monitoring Devices.人体健康传感器的关键基本原理及示例:可穿戴、非连续和非接触式监测设备
Sensors (Basel). 2025 Jan 19;25(2):556. doi: 10.3390/s25020556.
8
Challenges and Prospects of Sensing Technology for the Promotion of Tele-Physiotherapy: A Narrative Review.促进远程物理治疗的传感技术:挑战与前景的叙述性综述
Sensors (Basel). 2024 Dec 24;25(1):16. doi: 10.3390/s25010016.
9
A 3D printed serrated contact structure triboelectric nanogenerator for swimming training safety monitoring.一种用于游泳训练安全监测的3D打印锯齿状接触结构摩擦纳米发电机。
Heliyon. 2024 Sep 18;10(19):e38107. doi: 10.1016/j.heliyon.2024.e38107. eCollection 2024 Oct 15.
10
Digital environmental health: a digital platform for preliminary prevention and intervention.数字环境卫生:一个用于初级预防和干预的数字平台。
Womens Health Nurs. 2024 Sep;30(3):186-191. doi: 10.4069/whn.2024.08.31. Epub 2024 Sep 30.
利用可及的物联网技术实现远程医疗保健监测:现状、洞察与实验设计。
Biomed Eng Online. 2020 Oct 30;19(1):80. doi: 10.1186/s12938-020-00825-9.
4
Development of Smart Healthcare Monitoring System in IoT Environment.物联网环境下智能医疗监测系统的开发
SN Comput Sci. 2020;1(3):185. doi: 10.1007/s42979-020-00195-y. Epub 2020 May 26.
5
Stress Monitoring and Recent Advancements in Wearable Biosensors.压力监测与可穿戴生物传感器的最新进展
Front Bioeng Biotechnol. 2020 Sep 2;8:1037. doi: 10.3389/fbioe.2020.01037. eCollection 2020.
6
SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems.基于支持向量机的智能遗传算法模型,用于实现超声传感系统获取的乳腺囊肿图像的高效通用特征选择。
Sensors (Basel). 2020 Jan 12;20(2):432. doi: 10.3390/s20020432.
7
Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.可穿戴技术在中风康复中的应用:改善上肢运动障碍的诊断和治疗。
J Neuroeng Rehabil. 2019 Nov 19;16(1):142. doi: 10.1186/s12984-019-0612-y.
8
Sensor-Assisted Weighted Average Ensemble Model for Detecting Major Depressive Disorder.基于传感器的加权平均集成模型在重度抑郁症检测中的应用
Sensors (Basel). 2019 Nov 6;19(22):4822. doi: 10.3390/s19224822.
9
A Survey of Healthcare Monitoring Systems for Chronically Ill Patients and Elderly.慢性病患者和老年人的医疗监测系统调查。
J Med Syst. 2019 Jan 24;43(3):50. doi: 10.1007/s10916-019-1165-0.
10
A study on medical Internet of Things and Big Data in personalized healthcare system.个性化医疗系统中的医学物联网与大数据研究。
Health Inf Sci Syst. 2018 Sep 20;6(1):14. doi: 10.1007/s13755-018-0049-x. eCollection 2018 Dec.