物联网技术应用于医学领域的研究进展

随着物联网应用技术的发展,其已逐步与医学领域密切结合。结合体联网技术、远程医疗和医院管理三种应用类型,从医疗物联网架构、医疗物联网中的信号处理技术和医疗物联网应用领域三个方面综述了物联网技术应用于医学领域的当前研究进展,介绍并分析了应用原理和研究现状,讨论了物联网技术应用于医学领域中依然面临的问题和挑战。     

物联网在军事医疗健康领域的应用与发展趋势

在医疗健康领域,物联网技术的应用和发展取得了显著的进步,尤其是在军事医疗健康服务方面提供了更高效、更智能的解决方案。基于此,详细探讨了物联网技术在医疗健康领域的基本应用和未来发展趋势,并分析了其在军事医疗健康领域的应用现状。其中具体包括物联网技术在远程监控、健康管理、医疗诊断、药物管理等方面的应用,以及其在个性化、军事标准化、数据安全、跨学科合作等方面的发展趋势。通过深入探讨和分析,以期为相关产业的发展提供参考和启示。     

物联网技术在远程医疗系统中的应用现状

在医疗行业的发展中,物联网技术的应用范围越来越广,物联网技术能够有效帮助医院的管理者理清智慧医疗的概念和基本内容,对传统医疗行业进行革新。文中介绍了物联网的概念和技术,重点阐述了物联网技术在院前和院内医疗系统中的应用方向及现状。通过对物联网技术在医疗领域的应用进行分析,指出了医疗物联网应用中存在的行业缺乏通用标准、数据...     

计算机物联网技术应用探究

以计算机为载体的物联网技术已成为社会发展的指向,已涉及到各个领域,现在的物联网已具备了制度、技术条件,物联网技术研究也成为了我国科技研究领域中的重要内容,并在国防、流物、医疗等领域得到应用。本文通过阐述计算机物联网技术概念以及物联网技术,研究了计算机物联网技术发展应用情况和物联网背景下SINK网络数据管理技术的实际应用。     

物联网技术在智慧医疗领域的应用

近年来,物联网技术得到了快速发展,在智慧医疗领域发挥了重要作用.对智慧医疗和物联网关键技术进行了概述,从医疗健康管理、医疗物资管理以及医疗过程管理等3个方面,详细阐述了物联网技术在智慧医疗上的应用.     

基于区块链的物联网安全技术探究

近年来,随着区块链概念的提出,人们开始将基于区块链的物联网安全技术应用于物流、医疗、金融等领域。传统物联网存在的信任和安全隐私方面的问题,能够随着区块链分布式数据库系统技术的发展而得到有效改善,从而推动物联网进一步发展。基于此,主要探讨了基于区块链的物联网安全技术特点和物联网发展过程中存在的相关问题,进一步阐述了基于区块链的物联网安全技术的研究与应用。     

面向医疗行业物联网：概念、架构及关键技术研究

从物联网在医疗行业中的应用现状着手,分析了现有的面向医疗行业物联网的概念,并从狭义和广义角度对其进行剖析。借鉴物联网的现有体系架构,针对面向医疗行业物联网的特点,分析了医疗物联网体系架构设计时应考虑的领域业务范畴和体系架构模型标准,并对面向医疗行业物联网的关键技术进行归纳,分析其在医疗领域应用的场合,最后指出未来智慧医疗的发展方向。     

物联网安全测评技术综述

近年来,物联网大规模应用于智能制造、智能家居、智慧医疗等产业,物联网的安全问题日益突出,给物联网的发展带来了前所未有的挑战。安全测评技术是保障物联网安全的重要手段,在物联网应用的整个开发生命周期都需要进行安全测评工作,以保证物联网服务的安全性和健壮性。物联网节点面临计算能力、体积和功耗受限等挑战,智慧城市等应用场景提出了大规模泛在异构连接和复杂跨域的需求。本文首先总结了目前物联网中常用的安全测评方法和风险管理技术;然后从绿色、智能和开放三个方面分析物联网安全技术的发展现状和存在的安全问题,并总结了物联网安全测评面临的挑战以及未来的研究方向。     

物联网技术发展与应用

近年来许多国家将物联网技术列为国家战略新兴产业。文章介绍了物联网的概念和基本特征,分析了物联网关键技术,详细阐述了物联网技术在交通、电网、工业监测、物流、医疗和智能家居等领域的应用。     

物联网技术应用实践及其体系结构

物联网技术以其在众多领域的应用而受到了人们的广泛关注。在介绍物联网技术的基本概念及其发展现状的基础上,分别给出了物联网技术在医疗卫生事业、环境监控保护、农业和畜牧管理等领域的成功应用案例。最后通过总结应用方案,分析了物联网体系结构和相关技术,指出了电信运营商在物联网体系中的作用与价值。     

Application of iot medical image detection and prenatal genetic testing in obstetric clinic

The use of new techniques and methods can be significantly improved during prenatal examination and screening of fetal genetic abnormalities. Expanding the number of vectors in screening and screening for single-cell gene diseases in fetal DNA will increase the probability of success of the whole screening test.Recently, sub chromosomal abnormalities have been introduced into prenatal care. The lack of suitable tools makes it very difficult to obtain information about collection, management, and prenatal genetic testing. The purpose of this study is to improve the accessibility of nutritional information by using the advantages of advanced medical image detection and integrating the IoT (Internet of Things) and prenatal genetic testing platforms in obstetric outpatient clinics. Records are kept that the platform will allow IoT to interact with sensor practitioners and provide immediate access to medical images prior to delivery. This proposed system provides an IoT application for managing obstetric outpatient information and prenatal genetic testing requirements. The requirement for establishment is the realization of the development of an IoT platform for complete medical image detection information management with IoT input required for integration with existing medical information systems. In response, the purpose of the study is to use integrated IoT applications to help nutrition professionals, researchers, patients, and especially mothers, to enhance their collection of medical imaging and prenatal genetic testing IoT sensor based information transfer.     

物联网技术研究进展

目前,物联网因其巨大的应用前景而受到各国政府、学术界和工业界的广泛重视,成为国内外信息通信领域的新研究热点;物联网产业己经成为推动世界经济增长的重要新兴产业,我国已将物联网的发展列为信息产业发展的下一个战略高点;首先总结了物联网的国内外研究进展,其次对物联网的概念、实现原理与体系结构进行了分析,归纳了物联网涉及的关键技术,然后介绍了物联网的一些典型应用,最后指出了物联网进一步研究的方向以及制约国内物联网发展的问题及解决对策。     

Wearable IoT data stream traceability in a distributed health information system

With the soaring interest in the Internet of Things (IoT), some healthcare providers are facilitating remote care delivery through the use of wearable devices. These devices are employed for continuous streaming of personal medical data (e.g., vitals, medications, allergies, etc.) into healthcare information systems for the purposes of health monitoring and efficient diagnosis. However, a challenge from the perspective of the physicians is the inability to reliably determine which data belongs to who in real-time. This challenge emanates from the fact that healthcare facilities have numerous users who own multiple devices; thereby creating an N x M data source heterogeneity and complexities for the streaming process. As part of this research, we seek to streamline the process by proposing a wearable IoT data streaming architecture that offers traceability of data routes from the originating source to the health information system. To overcome the complexities of mapping and matching device data to users, we put forward an enhanced Petri Nets service model that aids with a transparent data trace route generation, tracking and the possible detection of medical data compromises. The results from several empirical evaluations conducted in a real-world wearable IoT ecosystem prove that: 1) the proposed system’s choice of Petri Net is best suited for linkability, unlinkability, and transparency of the medical IoT data traceability, 2) under peak load conditions, the IoT architecture exhibits high scalability, and 3) distributed health information system threats such as denial of service, man-in-the-middle, spoofing, and masking can be effectively detected.     

物联网环境下数据转发模型研究

随着5G移动通信技术、软件定义网络、命名数据网、移动边缘计算或雾计算等新兴技术或方法的出现及深入研究,物联网应用得到进一步升华。在这种应用场景多样化、服务质量高要求、参与对象普及化的环境下,隶属物联网子范畴的传统无线传感器网络数据转发模型已经不能完全适应这种时代需求,更加适合物联网应用的数据转发模型成为物联网连续性服务保障的基础性问题及研究热点。本文首先对物联网架构及其应用环境下的数据转发关键问题进行了分析;其次,对目前有代表性的物联网数据转发相关研究成果进行分类总结;然后,选取不同物联网场景下典型的数据转发模型及其使用的数学方法进行评述、分析和对比;最后,指出目前研究中存在的问题及相应解决方案,并对未来的发展方向进行了展望。研究表明,5G等新兴技术的出现为物联网环境下数据转发模型研究带来了新的机遇和挑战,今后的工作重点是对物联网环境下数据转发的节能模型和方法进行攻关,为实际应用提供坚实的理论基础。     

边缘计算环境下基于区块链的跨域认证与密钥协商协议

身份认证与密钥协商是接入物联网首先要考虑的安全问题.传统的物联网身份认证是基于"云中心-终端设备"的认证架构.而随着边缘计算技术的引入,认证架构转变为"边缘设备-终端设备"的架构,传统的认证方式不再适用.此外,物联网中存在多个通信域,不同域中的设备之间需要进行跨域间认证与密钥协商.针对以上问题,本文设计了边缘计算环境下...     

Advanced internet of things for personalised healthcare systems: A survey

As a new revolution of the Internet, Internet of Things (IoT) is rapidly gaining ground as a new research topic in many academic and industrial disciplines, especially in healthcare. Remarkably, due to the rapid proliferation of wearable devices and smartphone, the Internet of Things enabled technology is evolving healthcare from conventional hub based system to more personalised healthcare systems (PHS). However, empowering the utility of advanced IoT technology in PHS is still significantly challenging in the area considering many issues, like shortage of cost-effective and accurate smart medical sensors, unstandardised IoT system architectures, heterogeneity of connected wearable devices, multi-dimensionality of data generated and high demand for interoperability. In an effect to understand advance of IoT technologies in PHS, this paper will give a systematic review on advanced IoT enabled PHS. It will review the current research of IoT enabled PHS, and key enabling technologies, major IoT enabled applications and successful case studies in healthcare, and finally point out future research trends and challenges.     

重构图视角下超级账本在物联网的应用研究综述

在部署基于区块链的物联网应用中,出现了缺少细粒度隐私保护、事务处理效率低、高延迟、灵活性和动态性不足等方面的技术阻碍。为进一步推进区块链技术在物联网的普及和应用落地,致力于企业级标准的区块链技术的超级账本引起了研究界的广泛关注。然而在当前的研究中,缺少针对基于超级账本的物联网的客观综述。旨在以独特的视角回顾超级账本在物联网领域的研究。为展示更直观的差异和提供技术融合流程,提出了重构图的分析方法。重构是将文献中核心设计和原架构图融合,重新构造可以展示文献核心思想图的过程。这种方法旨在将文献的核心思想可视化。最后,从低功耗共识算法、智能交易验证、链上链下混合存储和自定义激励机制四个方向对超级账本在物联网的未来研究进行展望和总结。     

A systematic literature review on Internet of things in education: Benefits and challenges

With close to 20.4 billion devices connected to the Internet to be deployed by 2020, Internet of things (IoT) is already being leveraged in diverse sectors. Now, because of the ubiquitous nature of IoT devices, schools and academic institutions are looking to incorporate IoT in educational activities. With the increased use of IoT in the education domain, it is of utmost importance to study how this technology with its distinguished system functions such as sensing and decision making can support and challenge the pedagogical processes for all interrelated actors (faculty, students, and staff) as well as all involved assets (e.g., libraries, classrooms, and labs). Although there have been several contributions on the inclusion of IoT into the education domain, there is still a lack of consolidated and coherent views on this subject. Hence, we are motivated to close the gap of knowledge and embarked on mapping out the published studies available. This study presents the results of a systematic literature review focusing on the benefits and the challenges faced in education in integrating IoT into the curriculum and educational environments. Different mapping views of the extracted studies are provided as long as a summary of the already implemented tools and a list of gap research questions yet to be investigated.     

Internet of Things in Healthcare: Architecture,Applications, Challenges,and Solutions

Healthcare, the largest global industry, is undergoing significant transformations with the genesis of a new technology known as the Internet of Things (IoT). Many healthcare leaders are investing more money for transforming their services to harness the benefits provided by IoT, thereby paving the way for the Internet of Medical Things (IoMT), an extensive collection of medical sensors and associated infrastructure. IoMT has many benefits like providing remote healthcare by monitoring health vitals of patients at a distant place, providing healthcare services to elderly people, and monitoring a large group of people in a region or country for detection and prevention of epidemics. This paper provides a review of IoT in the healthcare domain by first describing the enabling technologies for delivering smart healthcare, followed by some of the key applications of IoT in healthcare. Next, a fog-based architecture consisting of three layers for IoT-based healthcare applications is proposed. Finally, we focus on some of the open challenges of IoT in healthcare, like fault tolerance, interoperability, latency, energy efficiency, and availability. Existing solutions for these challenges are also discussed.