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Статті в журналах з теми "Medical Internet of Things"

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Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 20 лютого 2023

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1

Guida, Raffaele, Neil Dave, Francesco Restuccia, Emrecan Demirors, and Tommaso Melodia. "The Implantable Internet of Medical Things." GetMobile: Mobile Computing and Communications 24, no. 3 (January 22, 2021): 20–25. http://dx.doi.org/10.1145/3447853.3447861.

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The promise of real-time detection and response to life-crippling diseases brought by the Implantable Internet of Medical Things (IIoMT) has recently spurred substantial advances in implantable technologies. Yet, existing medical devices do not provide at once the miniaturized end-to-end body monitoring, wireless communication and remote powering capabilities to implement IIoMT applications. This paper fills the existing research gap by presenting U-Verse, the first FDA-compliant rechargeable IIoMT platform packing sensing, computation, communication, and recharging circuits into a penny-scale platform. Extensive experimental evaluation indicates that U-Verse (i) can be wirelessly recharged and can store energy several orders of magnitude more than state-of-theart capacity in tens of minutes; (ii) with one single charge, it can operate from few hours to several days. Finally, U-Verse is demonstrated through (i) a closed-loop application that sends data via ultrasounds through real porcine meat; and (ii) a real-time reconfigurable pacemaker.

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2

Cerf, Vinton G. "On the internet of medical things." Communications of the ACM 63, no. 8 (July 22, 2020): 5. http://dx.doi.org/10.1145/3406779.

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3

Taherdoost, Hamed. "Blockchain-Based Internet of Medical Things." Applied Sciences 13, no. 3 (January 18, 2023): 1287. http://dx.doi.org/10.3390/app13031287.

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IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare facilities, patients, and insurance firms are all increasingly being included in IoMT systems. Therefore, it is difficult to create a blockchain design for such systems, since scalability is among the most important aspects of blockchain technology. This realization prompted us to comprehensively analyze blockchain-based IoMT solutions developed in English between 2017 and 2022. This review incorporates the theoretical underpinnings of a large body of work published in highly regarded academic journals over the past decade, to standardize evaluation methods and fully capture the rapidly developing blockchain space. This study categorizes blockchain-enabled applications across various industries such as information management, privacy, healthcare, business, and supply chains according to a structured, systematic evaluation, and thematic content analysis of the literature that is already identified. The gaps in the literature on the topic have also been highlighted, with a special focus on the restrictions posed by blockchain technology and the knock-on effects that such restrictions have in other fields. Based on these results, several open research questions and potential avenues for further investigation that are likely to be useful to academics and professionals alike are pinpointed.

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4

Latha, Akurathi Hema. "A Framework for Medical Assistance using Internet of Things Architecture." International journal of Emerging Trends in Science and Technology 03, no. 11 (November 17, 2016): 4742–46. http://dx.doi.org/10.18535/ijetst/v3i11.03.

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5

Thomasian, Nicole M., and Eli Y. Adashi. "Cybersecurity in the Internet of Medical Things." Health Policy and Technology 10, no. 3 (September 2021): 100549. http://dx.doi.org/10.1016/j.hlpt.2021.100549.

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6

Melodia, Tommaso, Raffaele Guida, Enrico Santagati, Emrecan Demirors, Daniel Uvaydov, Pedram Johari, and Jorge Jimenez. "Toward an ultrasonic Internet of medical things." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A244. http://dx.doi.org/10.1121/10.0011202.

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Wireless networked systems of “smart” miniaturized and electronically controlled implantable or wearable medical sensors and actuators will be the basis of many innovative and potentially revolutionary therapies and applications. The main obstacle in realizing this vision of smart networked implants is posed by the dielectric nature of the human body, which strongly attenuates radio-frequency electromagnetic waves used in traditional wireless technologies such as Bluetooth or WiFi. This talk will give an overview of our work exploring a radically different approach, i.e., establishing wireless networked systems in human tissues that transfer data and energy through acoustic waves at ultrasonic frequencies. We will start off by discussing applications of networked implantable medical systems.We will then analyze fundamental aspects of ultrasonic propagation in human tissues and their impact on the design of wireless networking protocols at different layers of the networking protocol stack. We will then review our work on designing and prototyping ultrasonically rechargeable and connected Internet-of-Things platforms through a closed-loop combination of mathematical modeling, simulation, and experimental evaluation.

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7

Adenaiye, Taiwo, Waleed Bul’ajoul, and Funminiyi Olajide. "Security Performance of Internet of Medical Things." Advances in Networks 9, no. 1 (2021): 1. http://dx.doi.org/10.11648/j.net.20210901.11.

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8

Makarenko, M. V. "FEATURES OF INTRODUCTION OF INTERNET OF THINGS TECHNOLOGIES (INTERNET OF THINGS, IoT; INTERNET OF MEDICAL THINGS, IoMT) IN THE FIELD OF HEALTHCARE." "Scientific Notes of Taurida V.I. Vernadsky University", series "Public Administration", no. 2 (2021): 64–68. http://dx.doi.org/10.32838/tnu-2663-6468/2021.2/011.

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9

Makarenko, M. V. "FEATURES OF INTRODUCTION OF INTERNET OF THINGS TECHNOLOGIES (INTERNET OF THINGS, IoT; INTERNET OF MEDICAL THINGS, IoMT) IN THE FIELD OF HEALTHCARE." "Scientific Notes of Taurida V.I. Vernadsky University", series "Public Administration", no. 2 (2021): 64–68. http://dx.doi.org/10.32838/tnu-2663-6468/2021.2/11.

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10

Ingle, Kiran. "Internet of Things Health Care." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 4859–64. http://dx.doi.org/10.22214/ijraset.2022.45082.

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Abstract: This paper is an overview of some of the implications of IoT on the healthcare field. Due to the increasing of IoT solutions, healthcare cannot be outside of this paradigm. The contribution of this paper is to introduce directions to achieve a global connectivity between the Internet of Things (IoT) and the medical environments. The need to integrate all in a global environment is a huge challenge to all (from electrical engineers to data engineers). This revolution is redesigning the way we see healthcare, from the smallest sensor to the big data collected.

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11

Payasan, Lalu Guntur, Arthur Josias S. Runturambi, and Iqrak Sulhin. "Medical Malpractice Transformation in the Internet of Medical Things Era." Technium Social Sciences Journal 38 (December 9, 2022): 204–19. http://dx.doi.org/10.47577/tssj.v38i1.7880.

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The Internet of medical things brought changes to the practice of medicine. The change is due to the inclusion of elements of devices and networks in medical services. The device and network elements in medical devices have many vulnerabilities that can lead to losses experienced by patients when they receive medical services. Therefore, this study will examine how these changes then have an impact on losses that in criminology are considered medical malpractice. A qualitative explanatory approach to both primary and secondary data is then used by researchers to support the argumentation. The results showed that the argument for the possibility of other perpetrators besides doctors who could then be interpreted as committing crimes that cause harm to patients was proven to be good from the responsibility of other human beings (electromedicine) as guarantors of device safety and reliability; manufacture and distributor of devices both from the prototype process, to use in health care facilities; and providers and hackers in the network used by healthcare devices. The impact can be seen in the discussion

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12

Javida Damirova, Javida Damirova, and Laman Musayeva Laman Musayeva. "INTERNET OF THINGS." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 13, no. 02 (March 1, 2022): 33–43. http://dx.doi.org/10.36962/pahtei13022022-33.

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This article will discuss the Internet of things, which is a completely new technology. Currently, the world's most talked about new electronics use Internet of Things technology. This technology includes Google, Yandex, YouTube and all our social networks. The current benefits of Internet of Things technology will be discussed, as well as its future position. What is the role of smart technologies in the development of robotics, new electronics and the impetus for new inventions? The Internet of Things is a new paradigm that transforms traditional lifestyles into high-tech lifestyles. Many important studies and researches have been conducted to improve the technology through IoT. The Internet of Things, or IoT, refers to the billions of physical devices around the world that are now connected to the internet, all collecting and sharing data. The main purpose of this review article is to provide a detailed discussion, both technologically and socially. It is not just about the connected devices but also about the hardware, software, connectivity and communication protocols, middleware and so much more to create Internet of Things solutions as mentioned. And it’s also about many processes and technologies. So, this is most important theme in our world. The article discusses various problems and key issues in IoT, architecture and important applications. The Internet of Things is an emerging paradigm that enables the communication between electronic devices and sensors through the internet in order to facilitate our lives. IoT has also demonstrated its importance and potential for economic and industrial growth in the developing region. It is also seen as a revolutionary step in the trading and stock markets. However, data and information security is an important concern and is highly desirable, which is a major challenge that needs to be addressed. The Internet, the biggest source of security threats and cyber attacks, has opened various doors for hackers, thereby discrediting information and data. IoT is committed to providing the best possible solutions to deal with data and information security issues. IoT's most important concern in trade and the economy is security. The IoT system consists of a large number of devices and sensors that communicate with each other. They can range from a Wi-Fi pet camera on your bookshelf to a medical device implanted in your body, like a pacemaker. As long as the device is able to connect to the internet and has sensors that transmit data, it can be considered an IoT device. As the IoT network grows and expands, the number of these sensors and devices is growing rapidly. These devices communicate with each other and transmit large amounts of information over the Internet. This information is very large and flows every second, and therefore deserves to be called great information. The IoT was initially most interesting to business and manufacturing, where its application is sometimes known as machine-to-machine (mean - M2M), but the emphasis is now on filling our homes and offices with smart devices, transforming it into something. Today, these IoT projects are evolving and rapidly spreading to all platforms. It is possible to find IoT projects for each topic. As mentioned earlier, IoT projects are designed to make life easier. These projects, created to help as many people as possible, will be the most important part of our future lives. It will be impossible to imagine our lives without the Internet of Things and smart projects. A smart city with sensors covering all its regions using diverse tangible gadgets and objects all over the community and connected with the help of internet. The continuous expansion of IoT-based networks poses complex challenges such as data management and collection, storage and processing, and analytics. This article sheds light on the existing literature and describes their contributions to various aspects of IoT. This article will help readers and researchers understand IoT and its application to the real world Keywords: arduino, sensors, security systems, robotics, intelligent technology.

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13

Lebedev, G. S., I. A. Shaderkin, I. V. Fomina, A. A. Lisnenko, I. V. Ryabkov, S. V. Kachkovsky, and D. V. Melaev. "Internet of medical things: first steps in systematization." Journal of Telemedicine and E-Health 2017, no. 3 (November 1, 2017): 128–26. http://dx.doi.org/10.29188/2542-2413-2017-3-3-128-136.

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14

Fan, Junqiao, Xuehe Wang, Yanxiang Guo, Xiping Hu, and Bin Hu. "Federated Learning Driven Secure Internet of Medical Things." IEEE Wireless Communications 29, no. 2 (April 2022): 68–75. http://dx.doi.org/10.1109/mwc.008.00475.

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15

Usman, Farha, Mohd Gulman Siddiqui, Prakhar Yadav, Sweta Singh, and Ram Suchit Yadav. "RECONFIGURABLE ANTENNA DESIGN FOR INTERNET OF MEDICAL THINGS." Progress In Electromagnetics Research C 116 (2021): 249–64. http://dx.doi.org/10.2528/pierc21091302.

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16

Anand, Sakshi, and Avinash Sharma. "Internet of Medical Things: Services, Applications and Technologies." Journal of Computational and Theoretical Nanoscience 16, no. 9 (September 1, 2019): 3995–98. http://dx.doi.org/10.1166/jctn.2019.8283.

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Анотація:

With constant evolution of technology, Internet of Things (IoT) is drawing much attention in recent years in various application domains from Wearables and Agriculture to Smart Cities, with Healthcare being one of the arenas. With Internet of Things in action, a new generation of healthcare is being introduced with assuring outlooks. This paper reviews the progress that has been made with the successful amalgamation of internet and healthcare department. Further this paper discusses various types of IoT based healthcare services and applications that have been introduced so far along with different prospects and scope of future research.

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17

Mohammed, Sabah, Jinan Fiaidhi, and Sami Mohammed. "Internet of Medical Things (IOMT): Trends and Challenge." International Journal of Control and Automation 12, no. 3 (March 31, 2019): 29–36. http://dx.doi.org/10.33832/ijca.2019.12.3.03.

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18

Cassinadane, Ananda Vayaravel, Akshaya Sridhar, Priyanka Sekar, and Sami Ranajan Sahoo. "Internet of things in medicine and dentistry." International Journal of Clinical Biochemistry and Research 9, no. 2 (June 15, 2022): 98–105. http://dx.doi.org/10.18231/j.ijcbr.2022.020.

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The internet of Things (IoT) in medical arena, also known as internet of medical things (IoMT) is the collection of medical devices and application connecting healthcare Information Technology (IT) system by means of online computer networks. It enables virtually any medical devices as well as non digitalized things (like pills and beds) to connect process and communicate data via web. IoMT allows medical devices and health-care items to exchange data on the spot, online with anyone who has a genuine need for it. The aura of IoMT includes wireless communication technologies, cloud computing, wearable technologies, messaging protocols, security methods, development boards, microcontrollers, mobile/IoT operating systems, and programming languages, built upon numerous technologies including advanced sensors, IoT connectivity and artificial intelligence (AI). IoMT can improve healthcare quality and reduce costs too in hospitals and clinics. In places where distance is the limiting factor, Telemedicine plays a vital role in remote patient monitoring. Major applications include biomedical equipment remote monitoring, remote patient monitoring biosensors and radio frequency identification. IoT in Dentistry aims to streamline oral health care by enhancing oral health while reducing costs, promoting workflow, relieving dentists and dental workers of tedious and time-consuming activities, and igniting interest in personalized oral health care.

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19

Tahir, Sabeen, Sheikh Tahir Bakhsh, Maysoon Abulkhair, and Madini O. Alassafi. "An energy-efficient fog-to-cloud Internet of Medical Things architecture." International Journal of Distributed Sensor Networks 15, no. 5 (May 2019): 155014771985197. http://dx.doi.org/10.1177/1550147719851977.

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In order to increase the reliability, accuracy, and efficiency in the eHealth, Internet of Medical Things is playing a vital role. Current development in telemedicine and the Internet of Things have delivered efficient and low-cost medical devices. The Internet of Medical Things architectures being developed do not completely recognize the potential of Internet of Things. The Internet of Medical Things sensor devices have limited computation power; in case if a patient is using implanted medical devices, it is not easy to recharge or replace the devices immediately. Biosensors are small devices with limited energy if these devices do not wisely utilize the energy may drain sharply and devices become inactive. The current medical solutions place the bulk of data on cloud-based systems that ultimately creates a bottleneck. In this article, an energy-efficient fog-to-cloud Internet of Medical Things architecture is proposed to optimize energy consumption. In the proposed architecture, Bluetooth enabled biosensors are used, because Bluetooth technology is an energy efficient and also helps to enable the sleep and awake modes. The proposed fog-to-cloud Internet of Medical Things works in three different modes periodic, sleep–awake, and continue to optimize the energy consumption. The proposed technique enabled the sensing modes that gathers the patients’ data efficiently based on their health conditions. The sensed data are transmitted to the relevant fog and cloud devices for further processing. The performance of fog-to-cloud Internet of Medical Things is evaluated through simulation; the results are compared with the results of existing techniques in terms of an end-to-end delay, throughput, and energy consumption. It is analyzed that the proposed technique reduces the energy consumption between 30% and 40%.

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20

Laranjo, Isabel, Joaquim Macedo, and Alexandre Santos. "Internet of Things for Medication Control." International Journal of Reliable and Quality E-Healthcare 2, no. 3 (July 2013): 1–15. http://dx.doi.org/10.4018/ijrqeh.2013070101.

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The use of Radio Frequency IDentification technology (RFID) in the medical context enables drug identification but also a rapid and, of course, precise identification of patients, physicians, nurses or any other health caregiver. Combining RFID tag identification with structured and secure Internet of Things (IoT) solutions, one can establish a ubiquitous and quick access to any type of medical related records, as long as one can control and adequately secure all the Internet mediated interactions. This paper presents an e-Health service architecture, along with the corresponding Internet of Things prototype implementation that makes use of RFID tags and Electronic Product Codes (EPC) standards, in order to easily establish in a ubiquitous manner a medication control system. The system, presented and tested, has a web interface and allowed for a first evaluation of the e-health proposed service. As the service is mainly focused on elderly Ambient Assisted Living (AAL) solutions, all these technologies - RFID, EPC, Object Naming Service (ONS) and IoT – have been integrated into a suitable system, able to promote better patient/physician, patient/nurse and, generally, any patient/health caregiver, interactions. The whole prototype service, entitled “RFID-based IoT for Medication Control”, and its web interface are presented and evaluated.

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21

Mehr Yahya Durrani, Mehr Yahya Durrani, Sadaf Yasmin Mehr Yahya Durrani, and Seungmin Rho Sadaf Yasmin. "An Internet of Medical Things Based Liver Tumor Detection System using Semantic Segmentation." 網際網路技術學刊 23, no. 2 (March 2022): 363–75. http://dx.doi.org/10.53106/160792642022032302015.

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<p>Internet of Medical Things (IOMT) based systems provide a framework for remote health monitoring. Liver tumors tend to have parallel intensities with neighboring lesions and may have an abnormal apparent form that directly depends on the stage, state, type, and luminosity setup. In this research, a segmentation model based on improved UNet has been deployed to segment the tumors by incorporating the side-by-side convolution layers based on Filter Response normalization layers (FRN) along with Threshold Linear Units (TLU). This combination of FRN along with TLU has a very strong impact on the performance of the model as the FRN layer operates on each batch sample and each response filter during training, and thus it eliminates the problem of batch dependence. Furthermore, we have also switched from the traditional up-sampling layers to fractionally strided convolutions in UNet which performs up-sampling of the required image with proper learning. Moreover, the tumors are directly segmented by the proposed framework from the given CT scan without any extraction of ROIs. To evaluate the performance of our proposed method, we use a publicly available 3DIRCADb dataset. The proposed technique has shown excellent results with 93.0% accuracy and 71.2% Jaccard score.</p> <p> </p>

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22

Magdy, Mahmoud, Neveen I. Ghali, Said Ghoniemy, and Khalid M. Hosny. "Multiple Zero-Watermarking of Medical Images for Internet of Medical Things." IEEE Access 10 (2022): 38821–31. http://dx.doi.org/10.1109/access.2022.3165813.

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23

Nkenyereye, Lewis, S. M. Riazul Islam, Mahmud Hossain, M. Abdullah-Al-Wadud, and Atif Alamri. "Blockchain-Enabled EHR Framework for Internet of Medical Things." Computers, Materials & Continua 67, no. 1 (2021): 211–21. http://dx.doi.org/10.32604/cmc.2021.013796.

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24

R Hanji, Bhagyashri. "Internet of Medical Things (IoMT) –Architecture, Benefits and Challenges." Journal of Information Technology and Sciences 6, no. 3 (September 9, 2020): 1–6. http://dx.doi.org/10.46610/joits.2020.v06i03.001.

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25

Ramgir, Mayur. "Internet of Things Powered Automated AI-Enabled Medical Kiosk." International Journal of Scientific and Research Publications (IJSRP) 9, no. 10 (October 6, 2019): p9405. http://dx.doi.org/10.29322/ijsrp.9.10.2019.p9405.

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26

El-Meniawy, Nagwa, Mohamed R. M. Rizk, Magdy A. Ahmed, and Mohamed Saleh. "An Authentication Protocol for the Medical Internet of Things." Symmetry 14, no. 7 (July 20, 2022): 1483. http://dx.doi.org/10.3390/sym14071483.

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The progress in biomedical sensors, Internet of Things technologies, big data, cloud computing, and artificial intelligence is leading the development of e-health medical systems, offering a range of new and innovative services. One such service is remote patient monitoring, where medical professionals are able to collect and examine a patient’s medical data remotely. Of course, in these systems, security and privacy are of utmost importance and we need to verify the identities of system users before granting them access to sensitive patient-related data. To this end, several authentication protocols have been recently designed specifically for e-health systems. We survey several of these protocols and report on flaws and shortcomings we discovered. Moreover, we propose an authentication protocol that enables a medical professional and the network of sensors used by a patient to authenticate each other and share a cryptographic key to be used for security in a communication session. The protocol also enables the dynamic assignment of patients to doctors in order to control access to patients’ data. We perform a security analysis of the protocol both formally, using the ProVerif protocol analysis tool, and informally, demonstrating its security features. We show that our protocol achieves mutual authentication, secret key establishment, forward secrecy, and anonymity. In terms of performance, the protocol is computationally lightweight, as it relies on symmetric key cryptography. This is demonstrated by comparing the computational cost of our protocol (in terms of execution time) with that of other similar protocols.

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27

Khaled, Ahmed E. "Internet of Medical Things (IoMT): Overview, Taxonomies, and Classifications." Journal of Computer and Communications 10, no. 08 (2022): 64–89. http://dx.doi.org/10.4236/jcc.2022.108005.

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28

Dimitrov, Dimiter V. "Medical Internet of Things and Big Data in Healthcare." Healthcare Informatics Research 22, no. 3 (2016): 156. http://dx.doi.org/10.4258/hir.2016.22.3.156.

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29

Gaurav, Akshat, Konstantinos Psannis, and Dragan Peraković. "Security of Cloud-Based Medical Internet of Things (MIoTs)." International Journal of Software Science and Computational Intelligence 14, no. 1 (January 2022): 1–16. http://dx.doi.org/10.4018/ijssci.285593.

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In this digital era expectations for medical quality have increased. As the number of patients continues to increase, conventional health care methods are having to deal with new complications. In light of these observations, researchers suggested a hybrid combination of conventional health care methods with IoT technology and develop MIoT. The goal of IoMT is to ensure that patients can respond more effectively and efficiently to their treatment. But preserving user privacy is a critical issue when it comes to collecting and handling highly sensitive personal health data. However, IoMTs have limited processing power; hence, they can only implement minimal security techniques. Consequently, throughout the health data transfer through MIoT, patient’s data is at risk of data leakage. This manuscript per the authors emphasizes the need of implementing suitable security measures to increase the IoMT's resilience to cyberattacks. Additionally, this manuscript per the authors discusses the main security and privacy issues associated with IoMT and provide an overview of existing techniques.

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30

Neranjan Thilakarathne, Navod, G. Muneeswari, V. Parthasarathy, Fawaz Alassery, Habib Hamam, Rakesh Kumar Mahendran, and Muhammad Shafiq. "Federated Learning for Privacy-Preserved Medical Internet of Things." Intelligent Automation & Soft Computing 33, no. 1 (2022): 157–72. http://dx.doi.org/10.32604/iasc.2022.023763.

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31

Guo, Jinhong, Xiwei Huang, Santosh Pandey, and Yuan-Ting Zhang. "Guest Editorial: Internet of Medical Things for Health Engineering." IEEE Journal of Biomedical and Health Informatics 24, no. 6 (June 2020): 1539–40. http://dx.doi.org/10.1109/jbhi.2020.2988734.

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32

Thamilarasu, Geethapriya, Adedayo Odesile, and Andrew Hoang. "An Intrusion Detection System for Internet of Medical Things." IEEE Access 8 (2020): 181560–76. http://dx.doi.org/10.1109/access.2020.3026260.

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33

Wang, Ying, Jian He, Hao Zhao, Yao-Hui Han, and Xiao-Jiang Huang. "Intelligent community medical service based on internet of things." Journal of Interdisciplinary Mathematics 21, no. 5 (July 4, 2018): 1121–26. http://dx.doi.org/10.1080/09720502.2018.1493040.

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34

Li, Xuran, Hong-Ning Dai, Qubeijian Wang, Muhammad Imran, Dengwang Li, and Muhammad Ali Imran. "Securing Internet of Medical Things with Friendly-jamming schemes." Computer Communications 160 (July 2020): 431–42. http://dx.doi.org/10.1016/j.comcom.2020.06.026.

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Alsubaei, Faisal, Abdullah Abuhussein, Vivek Shandilya, and Sajjan Shiva. "IoMT-SAF: Internet of Medical Things Security Assessment Framework." Internet of Things 8 (December 2019): 100123. http://dx.doi.org/10.1016/j.iot.2019.100123.

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Zhang, Weiping, Jingzhi Yang, Hang Su, Mohit Kumar, and Yihua Mao. "Medical data fusion algorithm based on Internet of things." Personal and Ubiquitous Computing 22, no. 5-6 (June 29, 2018): 895–902. http://dx.doi.org/10.1007/s00779-018-1173-y.

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Liu, Chao, Fulong Chen, Chuanxin Zhao, Taochun Wang, Cheng Zhang, and Ziyang Zhang. "IPv6-Based Architecture of Community Medical Internet of Things." IEEE Access 6 (2018): 7897–910. http://dx.doi.org/10.1109/access.2018.2801563.

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38

Teng, Qi, and Dong Xin Lu. "The Application of Internet of Things on Medical System." Advanced Materials Research 651 (January 2013): 770–73. http://dx.doi.org/10.4028/www.scientific.net/amr.651.770.

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Анотація:

With the advent of internet of things (IOT), it breaks the tradition thought which separate the physical devices and IT infrastructure. It is the third wave of information industry in the world after computer, internet and mobile. This article introduces the features and key technologies of IOT, and explores the features and applications of IOT on medical system. Pointed out the technologies of IOT will bring great changes to medical applications.

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Cheng, Xu, Ziyang Zhang, Fulong Chen, Chuanxin Zhao, Taochun Wang, Hui Sun, and Cheng Huang. "Secure Identity Authentication of Community Medical Internet of Things." IEEE Access 7 (2019): 115966–77. http://dx.doi.org/10.1109/access.2019.2935782.

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40

Alizadehsani, Roohallah, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, H. M. Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, et al. "Swarm Intelligence in Internet of Medical Things: A Review." Sensors 23, no. 3 (January 28, 2023): 1466. http://dx.doi.org/10.3390/s23031466.

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Анотація:

Continuous advancements of technologies such as machine-to-machine interactions and big data analysis have led to the internet of things (IoT) making information sharing and smart decision-making possible using everyday devices. On the other hand, swarm intelligence (SI) algorithms seek to establish constructive interaction among agents regardless of their intelligence level. In SI algorithms, multiple individuals run simultaneously and possibly in a cooperative manner to address complex nonlinear problems. In this paper, the application of SI algorithms in IoT is investigated with a special focus on the internet of medical things (IoMT). The role of wearable devices in IoMT is briefly reviewed. Existing works on applications of SI in addressing IoMT problems are discussed. Possible problems include disease prediction, data encryption, missing values prediction, resource allocation, network routing, and hardware failure management. Finally, research perspectives and future trends are outlined.

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Ou, Tingting, Xuehua Cai, Meichun Wang, Feirong Guo, and Biyu Wu. "A Novel Method of Clinical Nursing under the Medical Internet of Things Technology." Journal of Healthcare Engineering 2021 (November 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/2234457.

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Анотація:

Internet of things technology began to spread to all industries of our lives; the application of medical internet of things in many hospitals highlighted its advantages and brought a lot of convenience to patients and medical staff. With the continuous progress of China’s medical reform and the continuous improvement of patients’ requirements for medical service quality, this paper discusses the application of medical internet of things in clinical nursing in ward, and the basic information collection, infusion, and mobile nursing were discussed and studied. Through the parallel control study of the laboratory itself, this paper evaluates whether the two different clinical measurement methods of medical internet of things technology and traditional technology are consistent in body temperature, pulse, respiration, and blood oxygen saturation. At the same time, it also deeply studies the value and advantages of internet of things technology in the application of other monitoring indicators in clinical nursing and analyses the problems in its application. The experimental data show that the two measurement methods with different principles can be completely replaced in clinical application, and the time efficiency of the new clinical nursing method under the medical internet of things technology in mapping body temperature, pulse, and respiration has been improved by 76.20% and 72.02%, respectively, surpassing the traditional information technology and realizing the intelligent, automatic, and standardized data acquisition method. It ensures the authenticity of data and the real-time of information flow and meets the needs of resource sharing and medical regional interconnection.

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Chen, Chao, and Hui Guo. "Design Method of Database System Based on DPT and P2P Point Cloud for Internet of Things." Advanced Materials Research 760-762 (September 2013): 2077–80. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.2077.

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Анотація:

In recent years, with the development of Internet of Things, a new challenge is posed on data access. Focusing on the database management problems of internet of things, a design method of database system for Internet of Things was proposed by means of DPT and P2P point cloud. An example of Internet of Things for medical health system verifies the method can solve the problem of database management of Internet of Things to a certain extent and provide technical support for Internet of Things combining distributed processing technology, network technology, and middleware technology.

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Li, Ye, and Bing Lu. "Design Method of Database System Based on DPT and P2P Point Cloud for Internet of Things." Advanced Materials Research 760-762 (September 2013): 2234–37. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.2234.

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Анотація:

In recent years, with the development of Internet of Things, a new challenge is posed on data access. Focusing on the database management problems of internet of things, a design method of database system for Internet of Things was proposed by means of DPT and p2p point cloud. An example of Internet of Things for medical health system verifies the method can solve the problem of database management of Internet of Things to a certain extent and provide technical support for Internet of Things combining distributed processing technology, network technology, and middleware technology.

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Singh, Jaydeep. "Internet of Things with Smart Contract." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 4505–9. http://dx.doi.org/10.22214/ijraset.2022.43446.

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Abstract- Smart contract is an automatic contract with the agreement between two parties, written into few lines of code. Agreements contained live across a distributed, decentralized blockchain network. Code controls the execution and transactions that are tractable and not changed [1]. This are the digital contract stored in block chain and executes automatically when condition meets [1]. IOT is network of physical devices that embedded with different sensors, software for exchanging data over internet [2].this are having advantages in all sectors including medical science, home automation, security etc. [2]. Future is IOT and smart contract technology is bright in near future as all IOT has lot of applications with use of smart contract technology to maintain integrity of data [2]. Keywords – Smart Contract, IOT, blockchain

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Phung, Kim Anh, Cemil Kirbas, Leyla Dereci, and Tam V. Nguyen. "Pervasive Healthcare Internet of Things: A Survey." Information 13, no. 8 (July 28, 2022): 360. http://dx.doi.org/10.3390/info13080360.

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Анотація:

Thanks to the proliferation of the Internet of Things (IoT), pervasive healthcare is gaining popularity day by day as it offers health support to patients irrespective of their location. In emergency medical situations, medical aid can be sent quickly. Though not yet standardized, this research direction, healthcare Internet of Things (H-IoT), attracts the attention of the research community, both academia and industry. In this article, we conduct a comprehensive survey of pervasive computing H-IoT. We would like to visit the wide range of applications. We provide a broad vision of key components, their roles, and connections in the big picture. We classify the vast amount of publications into different categories such as sensors, communication, artificial intelligence, infrastructure, and security. Intensively covering 118 research works, we survey (1) applications, (2) key components, their roles and connections, and (3) the challenges. Our survey also discusses the potential solutions to overcome the challenges in this research field.

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Alamsyah, Alamsyah, Mery Subito, Mohammad Ikhlayel, and Eko Setijadi. "Internet of things–based vital sign monitoring system." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 5891. http://dx.doi.org/10.11591/ijece.v10i6.pp5891-5898.

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Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.

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Liao, Jiacheng, and Yingxin Zhong. "Application of Internet of Things and Data Optimization in the Design of Smart Medical Park." Mobile Information Systems 2022 (July 21, 2022): 1–7. http://dx.doi.org/10.1155/2022/4344333.

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Анотація:

The ecological development of industrial parks has become a concern in current urban planning. The traditional development model and development ideas of pharmaceutical industrial parks need to be changed urgently, not only to improve their own functions but also to use land more effectively and save resource costs. Aiming at the problems existing in the construction of the park, this paper studies the use of the Internet of Things technology to build a smart park platform to realize the access of intelligent systems and equipment in the park. First of all, starting from the background of the combination of smart parks and the Internet of Things, by analyzing the architecture of the Internet of Things, it studies the requirements for the combination of smart parks and the Internet of Things technology. Second, according to the results of the demand analysis, we conducted a research on the construction plan of the smart park in the Internet of Things era, including the construction of the smart park platform using the Internet of Things technology, the ideas and access methods of the intelligent system access platforms in the smart park, and the research on the construction of the intelligent park platform architecture based on the Internet of Things and decision tree technology. Finally, the specific implementation process of its access to the smart campus platform is studied through simulation tests, and the feasibility of the access method is verified.

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Tariq, Muhammad Imran, Natash Ali Mian, Abid Sohail, Tahir Alyas, and Rehan Ahmad. "Evaluation of the Challenges in the Internet of Medical Things with Multicriteria Decision Making (AHP and TOPSIS) to Overcome Its Obstruction under Fuzzy Environment." Mobile Information Systems 2020 (August 26, 2020): 1–19. http://dx.doi.org/10.1155/2020/8815651.

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Анотація:

The exponential speed of advancement of innovation has expanded the needs of all users to avail all their information on the Internet 24/7. The Internet of things (IoT) enables smart objects to develop a significant building block in the development of the pervasive framework. The messaging between objects with one another means the least work and least expense for the enterprise. The industry that intends to implement the Internet of medical things (IoMT) in its organizations is still facing difficulties. Recognition and solving of these challenges are a time-consuming task and also need significant expenses if not adequately evaluated and prioritized. The application of the Internet of things is covered in almost every area, including medical/healthcare. In this research, the authors investigated the factors dealing with the Internet of medical things. The outcome of this study is to prioritize the level of significance of the elements causing these challenges, evaluated through fuzzy logic and multicriteria decision-making (MCDM) techniques like Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP). It would be beneficial for enterprises to save time and revenue. The main criteria, as well as subcriteria, were determined after due consultation with the Internet of medical things experts. In this study, our goals are to figure out which criteria/factors create hurdles in the adoption of the Internet of medical things. Through the investigation, we figured out 20 criteria ought to be given more importance/preference by the industry that is in the transition phase of the Internet of medical things adoption. The enterprise, with the help of this study, will be enabled to accelerate that adoption by limiting time and fiscal misfortune.

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Liu, Jing, Jixin Ma, Jingbing Li, Mengxing Huang, Naveed Sadiq, and Yang Ai. "Robust Watermarking Algorithm for Medical Volume Data in Internet of Medical Things." IEEE Access 8 (2020): 93939–61. http://dx.doi.org/10.1109/access.2020.2995015.

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Li, Hong-An, Jiangwen Fan, Keping Yu, Xin Qi, Zheng Wen, Qiaozhi Hua, Min Zhang, and Qiaoxue Zheng. "Medical Image Coloring Based on Gabor Filtering for Internet of Medical Things." IEEE Access 8 (2020): 104016–25. http://dx.doi.org/10.1109/access.2020.2999454.

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