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智慧城市医疗网络物理系统：特征、技术与挑战

Smart City Healthcare Cyber Physical System: Characteristics, Technologies  and Challenges.

作者信息

Verma Rupali

机构信息

Computer Science and Engineering, Punjab Engineering College, Chandigarh, India.

出版信息

Wirel Pers Commun. 2022;122(2):1413-1433. doi: 10.1007/s11277-021-08955-6. Epub 2021 Aug 26.

DOI:10.1007/s11277-021-08955-6
PMID:34462622
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8387555/
Abstract

The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises from the outbreak of the disease. Smart healthcare cyber physical systems are the future systems as they integrate the physical and cyber world for efficient functioning of medical processes and treatment through external monitoring and control of patients, medical devices and equipment for continuous communication and information exchange of physiological data. Technologies like Internet of Things, Machine learning and Artificial Intelligence have given birth to smart cyber physical systems like Smart Healthcare Systems, Smart Homes, Smart Vehicular Systems and Smart Grid. Such systems are interdisciplinary in nature with multitude of technologies contributing to its effective working. This paper presents a case study on healthcare cyber physical systems presenting its characteristics, role of various technologies in its growth and major challenges in successful implementation of cyber physical medication systems.

摘要

近期的疫情要求建立一个强大且智能的医疗保健系统，该系统能够高效地监测患者，并应对疾病爆发所引发的情况。智能医疗网络物理系统是未来的系统，因为它们将物理世界和网络世界整合在一起，通过对患者、医疗设备和器械进行外部监测与控制，实现生理数据的持续通信和信息交换，从而使医疗过程和治疗能够高效运行。物联网、机器学习和人工智能等技术催生了诸如智能医疗系统、智能家居、智能车辆系统和智能电网等智能网络物理系统。这类系统本质上具有跨学科性，众多技术共同促成其有效运行。本文呈现了一个关于医疗网络物理系统的案例研究，介绍了其特点、各种技术在其发展中的作用以及网络物理药物治疗系统成功实施过程中的主要挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/c16cd97a6e10/11277_2021_8955_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/79ad657b2d60/11277_2021_8955_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/0635212b4d81/11277_2021_8955_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/c70e78451436/11277_2021_8955_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/fd377ae9f8ec/11277_2021_8955_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/decaa917cc6a/11277_2021_8955_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/b55ea52c730a/11277_2021_8955_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/c16cd97a6e10/11277_2021_8955_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/79ad657b2d60/11277_2021_8955_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/0635212b4d81/11277_2021_8955_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/0ed9be2c2497/11277_2021_8955_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/c70e78451436/11277_2021_8955_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/fd377ae9f8ec/11277_2021_8955_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/decaa917cc6a/11277_2021_8955_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/b55ea52c730a/11277_2021_8955_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a3c/8387555/c16cd97a6e10/11277_2021_8955_Fig8_HTML.jpg

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Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making.利用机器学习预测2019冠状病毒病患者的死亡风险以辅助医疗决策。
Smart Health (Amst). 2021 Apr;20:100178. doi: 10.1016/j.smhl.2020.100178. Epub 2021 Jan 16.
3
Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study.
用于无线生物监测标签的无约束患者的智能床架构的部署和验证。
Med Biol Eng Comput. 2024 Dec;62(12):3815-3840. doi: 10.1007/s11517-024-03155-3. Epub 2024 Jul 22.
4
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities.智能医疗保健中基于机器学习和深度学习的方法：最新进展、应用、挑战与机遇。
AIMS Public Health. 2024 Jan 5;11(1):58-109. doi: 10.3934/publichealth.2024004. eCollection 2024.
5
Securing Smart Healthcare Cyber-Physical Systems against Blackhole and Greyhole Attacks Using a Blockchain-Enabled Gini Index Framework.使用基于区块链的基尼指数框架保护智能医疗网络物理系统免受黑洞和灰洞攻击。
Sensors (Basel). 2023 Nov 23;23(23):9372. doi: 10.3390/s23239372.
6
Exploring the Potential of Big Data Analytics in Urban Epidemiology Control: A Comprehensive Study Using CiteSpace.探索大数据分析在城市流行病学控制中的潜力：基于 CiteSpace 的综合研究。
Int J Environ Res Public Health. 2023 Feb 22;20(5):3930. doi: 10.3390/ijerph20053930.
7
A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects.关于新冠疫情对医疗领域影响的调查：全球市场实施情况、应用、安全与隐私问题、挑战及未来前景
Complex Intell Systems. 2023;9(1):1027-1058. doi: 10.1007/s40747-022-00767-w. Epub 2022 May 31.
面向当前新冠疫情及未来大流行的物联网：一项探索性研究。
J Healthc Inform Res. 2020;4(4):325-364. doi: 10.1007/s41666-020-00080-6. Epub 2020 Nov 12.