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Articoli di riviste sul tema "Internet of Medical Things (IoMT)"

Autore: Grafiati

Pubblicato: 18 novembre 2024

Ultima modifica: 25 luglio 2025

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1

Tanvir Mahmud. "Applications for the Internet of Medical Things." International Journal of Science and Research Archive 10, no. 2 (2023): 1247–54. https://doi.org/10.30574/ijsra.2023.10.2.0962.

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IoMT has revolutionized healthcare by integrating advanced technologies to enhance patient monitoring, diagnosis, and treatment. This paper explores the applications associated with IoMT, including its role in remote health monitoring, intelligent disease diagnosis, infectious disease tracing, and smart hospital management. IoMT enables real-time data collection and analysis through interconnected medical devices, improving healthcare efficiency and accessibility. This review provides insights into the current advancements in IoMT.

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Nishad, Dipesh Kumar, and Diwakar R. Tripathi. "Internet of Medical Things (IoMT): Applications and Challenges." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 3 (2020): 2885–89. http://dx.doi.org/10.61841/turcomat.v11i3.14654.

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The Internet of Medical Things (IoMT) is revolutionizing healthcare by enabling remote patient monitoring, telemedicine, smart healthcare devices, and health data analytics. This paper provides a comprehensive review of the applications, benefits, challenges, and future trends of IoMT in healthcare. The applications of IoMT, including remote patient monitoring and telemedicine, have the potential to improve patient outcomes, enhance healthcare efficiency, and reduce costs. However, the implementation of IoMT is hindered by security and privacy concerns, interoperability issues, regulatory chal

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Kjwan, Alyaa Ali Hameed, and Omar Hasan Mohammad. "Enhancing Medical Data Analysis with Federated Learning in the Internet of Medical Things." April-May 2024, no. 43 (April 1, 2024): 38–52. http://dx.doi.org/10.55529/ijrise.43.38.52.

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The Internet of Things refers to physical items, which are equipped with software, sensors, computing power, and other technologies, and that communicate with other electronic devices and systems over communication networks or the Internet. A collection of medical devices and software programmes known as the Internet of Medical Things (IoMT) link to healthcare networks via internet computing. Machine-to-machine communication, which is the foundation of IoMT, is made feasible by medical equipment that includes Wi-Fi. IoMT devices have the ability to analyse and store collected data by connectin

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Akash, Golaviya1* Madhuri Patel2 Mayur Jhala3. "Internet of things (IoT) and Its Applications." Science World a monthly e magazine 2, no. 11 (2022): 1927–31. https://doi.org/10.5281/zenodo.7373629.

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The technological developments in this 21<sup>st</sup> century has a potential to influence our daily lives. Internet of things (IoT) is a network formed by interconnecting heterogeneous things or objects aimed to solve an addressed problem that generally requires interdisciplinary approaches. IoT provides each physical object/device with the opportunity to see, hear and talk with others so that they can share their knowledge and make decisions. The independence of humans to interact, contribute and collaborate on things have expanded with an increase in the use of mobile technology and smart

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Taherdoost, Hamed. "Blockchain-Based Internet of Medical Things." Applied Sciences 13, no. 3 (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

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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 (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

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Prasad, V. Maruthi, and B. Bharathi. "An Internet of Medical Things and Deep Learning-Based Intelligent Security Framework for Heart Health." Indian Journal Of Science And Technology 18, no. 26 (2025): 2100–2110. https://doi.org/10.17485/ijst/v18i26.3485.

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Objective: This study aims to address the growing network security risks posed by the increasing integration of IoMT infrastructure into medical facilities. The main goal is to develop and propose the Duo-Secure IoMT architecture that effectively counters complex cybersecurity threats such as botnet-driven distributed denial of service (DDoS) attacks and zero-day attacks while maintaining the integrity of clinical data. Methods: The Duo-Secure IoMT framework uses multimodal sensory cues to differentiate between typical IoMT data behaviour and patterns of malicious attacks. To analyze sensory d

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Lakshmipriya, Thangavel, and Subash C. B. Gopinath. "Internet of Medical Things (IoMT) for Alzheimer Patient’s Outcome." CNS & Neurological Disorders - Drug Targets 24, no. 7 (2025): 491–93. https://doi.org/10.2174/0118715273371149250218081425.

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The Internet of Medical Things (IoMT) is a network system that connects devices with medical and healthcare for the ultimate aim of collecting, transmitting, and analyzing the acquired data in the presence of the internet. A wide range of equipment and monitoring systems have been generated with IoMT, and they permit real-time monitoring, sharing the data, analysis, patient care, and for efficient operation. At the advanced level, it is highly facilitated with remote patient digital monitoring and telemedicine. IoMT has a significant potential to enhance the care of Alzheimer’s disease patient

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Siddiq, Abdulrahman I. "A Comprehensive Review of the Internet of Medical Things in Healthcare." International Journal of Electrical and Electronic Engineering & Telecommunications 13, no. 6 (2024): 415–26. http://dx.doi.org/10.18178/ijeetc.13.6.415-426.

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The continuous and rapid development in Internet of Medical Things (IoMT) technologies has led to the expansion of their applications in the field of healthcare and to increased interest in developing their technologies for the purpose of improving their performance in light of the challenges facing their practical application. This paper aims to provide a comprehensive up-to-date review of the literature on IoMT and telemedicine. The study discusses the growing interest in the Internet of Things (IoT) in healthcare, emphasizing the IoMT. It highlights the significance of the IoMT in intellige

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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 (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, w

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Maqsood, Mubbara, Muhammad Mohtisham Dar, Syed khawar Hussain Shah, M. Aetsam Javed, and Hamayun Khan. "A Survey on the Internet of Medical Things (IOMT) Privacy and Security: Challenges Solutions and Future from a New Perspective." Asian Bulletin of Big Data Management 4, no. 4 (2024): 355–68. https://doi.org/10.62019/abbdm.v4i4.279.

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The Internet of Medical Things (IoMT), an application of the Internet of Things (IoT) in the medical domain, allows data to be transmitted across communication networks. In particular, IoMT can help improve the quality of life. With the advent of the Medical Internet of Things or MIOT, billions of people's health, safety, and care are being improved. Rather than requiring patients to visit the hospital for assistance, their health-related parameters can be tracked remotely, continuously, and in real-time., which significantly improves the effectiveness, convenience, and cost performance of hea

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Prasad, Vivek Kumar, Pronaya Bhattacharya, Darshil Maru, et al. "Federated Learning for the Internet-of-Medical-Things: A Survey." Mathematics 11, no. 1 (2022): 151. http://dx.doi.org/10.3390/math11010151.

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Recently, in healthcare organizations, real-time data have been collected from connected or implantable sensors, layered protocol stacks, lightweight communication frameworks, and end devices, named the Internet-of-Medical-Things (IoMT) ecosystems. IoMT is vital in driving healthcare analytics (HA) toward extracting meaningful data-driven insights. Recently, concerns have been raised over data sharing over IoMT, and stored electronic health records (EHRs) forms due to privacy regulations. Thus, with less data, the analytics model is deemed inaccurate. Thus, a transformative shift has started i

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Niu, Qinwang, Haoyue Li, Yu Liu, et al. "Toward the Internet of Medical Things: Architecture, trends and challenges." Mathematical Biosciences and Engineering 21, no. 1 (2023): 650–78. http://dx.doi.org/10.3934/mbe.2024028.

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<abstract><p>In recent years, the growing pervasiveness of wearable technology has created new opportunities for medical and emergency rescue operations to protect users' health and safety, such as cost-effective medical solutions, more convenient healthcare and quick hospital treatments, which make it easier for the Internet of Medical Things (IoMT) to evolve. The study first presents an overview of the IoMT before introducing the IoMT architecture. Later, it portrays an overview of the core technologies of the IoMT, including cloud computing, big data and artificial intelligence,

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Alsaeed, Norah, and Farrukh Nadeem. "Authentication in the Internet of Medical Things: Taxonomy, Review, and Open Issues." Applied Sciences 12, no. 15 (2022): 7487. http://dx.doi.org/10.3390/app12157487.

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The Internet of Medical Things (IoMT) has revolutionized the world of healthcare by remotely connecting patients to healthcare providers through medical devices connected over the Internet. IoMT devices collect patients’ medical data and share them with healthcare providers, who analyze it for early control of diseases. The security of patients’ data is of prime importance in IoMT. Authentication of users and devices is the first layer of security in IoMT. However, because of diverse and resource-constrained devices, authentication in IoMT is a challenging task. Several authentication schemes

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Tomer, Vikas, Sachin Sharma, and Mark Davis. "Resilience in the Internet of Medical Things: A Review and Case Study." Future Internet 16, no. 11 (2024): 430. http://dx.doi.org/10.3390/fi16110430.

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The Internet of Medical Things (IoMT), an extension of the Internet of Things (IoT), is still in its early stages of development. Challenges that are inherent to IoT, persist in IoMT as well. The major focus is on data transmission within the healthcare domain due to its profound impact on health and public well-being. Issues such as latency, bandwidth constraints, and concerns regarding security and privacy are critical in IoMT owing to the sensitive nature of patient data, including patient identity and health status. Numerous forms of cyber-attacks pose threats to IoMT networks, making the

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Alseddiqi, Mohamed, Anwar AL Mofleh, Osama Najam, et al. "Internet of Medical Things Application in King Hamad University Hospital." Saudi Journal of Biomedical Research 8, no. 06 (2023): 74–82. http://dx.doi.org/10.36348/sjbr.2023.v08i06.001.

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Background: The Internet of Medical Things (IoMT) is a network of medical devices and applications that are connected to the internet, allowing healthcare providers to remotely monitor and manage patient health. King Hamad University Hospital (KHUH) is a tertiary care hospital in Bahrain that has implemented various IoMT applications to improve patient care. Methods: The aim of this study is to investigate the application of Internet of Medical Things (IoMT) in King Hamad University Hospital (KHUH) and its impact on patient care and hospital operations The study will be conducted at KHUH, whic

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N. K. Sakthivel. "Internet of Medical Things (IoMT): Opportunities and Security Challenges." Journal of Information Systems Engineering and Management 10, no. 13s (2025): 285–94. https://doi.org/10.52783/jisem.v10i13s.2032.

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The IoMT is nothing but a technology phase breakthrough in the healthcare industry that uses wearables, and other low-level digital data collection devices for better patient care and operational efficiency. Through this research, we seek to bring together the opportunities and security threats related to IoMT with a special focus on machine learning algorithms as a predictive tool for health assessment. Empirical experiments were conducted to determine the performance of four machine learning techniques (Random Forest, Support Vector Machine, K-Nearest Neighbors, and Deep Learning Neural Netw

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Alizadehsani, Roohallah, Mohamad Roshanzamir, Navid Hoseini Izadi, et al. "Swarm Intelligence in Internet of Medical Things: A Review." Sensors 23, no. 3 (2023): 1466. http://dx.doi.org/10.3390/s23031466.

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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 f

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Abdulmohsin Hammood, Dalal, Hasliza A. Rahim, Ahmed Alkhayyat, and R. Badlishah Ahmad. "Body-to-Body Cooperation in Internet of Medical Things: Toward Energy Efficiency Improvement." Future Internet 11, no. 11 (2019): 239. http://dx.doi.org/10.3390/fi11110239.

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Internet of Medical Things (IoMT) technologies provide suitability among physicians and patients because they are useful in numerous medical fields. Wireless body sensor networks (WBSNs) are one of the most crucial technologies from within the IoMT evolution of the healthcare system, whereby each patient is monitored by low-powered and lightweight sensors. When the WBSNs are integrated into IoMT networks, they are quite likely to overlap each other; thus, cooperation between WBSN sensors is possible. In this paper, we consider communication between WBSNs and beyond their communication range. T

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Zachos, Georgios, Ismael Essop, Georgios Mantas, Kyriakos Porfyrakis, José C. Ribeiro, and Jonathan Rodriguez. "An Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks." Electronics 10, no. 21 (2021): 2562. http://dx.doi.org/10.3390/electronics10212562.

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Over the past few years, the healthcare sector is being transformed due to the rise of the Internet of Things (IoT) and the introduction of the Internet of Medical Things (IoMT) technology, whose purpose is the improvement of the patient’s quality of life. Nevertheless, the heterogenous and resource-constrained characteristics of IoMT networks make them vulnerable to a wide range of threats. Thus, novel security mechanisms, such as accurate and efficient anomaly-based intrusion detection systems (AIDSs), considering the inherent limitations of the IoMT networks, need to be developed before IoM

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Bhattacharjya, Aniruddha, Kamil Kozdrój, Grzegorz Bazydło, and Remigiusz Wisniewski. "Trusted and Secure Blockchain-Based Architecture for Internet-of-Medical-Things." Electronics 11, no. 16 (2022): 2560. http://dx.doi.org/10.3390/electronics11162560.

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The Internet of Medical Things (IoMT) global market has grown and developed significantly in recent years, and the number of IoMT devices is increasing every year. IoMT systems are now very popular and have become part of our everyday life. However, such systems should be properly protected to preventing unauthorized access to the devices. One of the most popular security methods that additionally relies on real-time communication is Blockchain. Moreover, such a technique can be supported by the Trusted Third Party (TTP), which guarantees data immutability and transparency. The research and in

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Ahmad, Ehsan, Brian Larson, and Abdulbasid Banga. "Trusted Composition of Internet of Medical Things over Imperfect Networks." Future Internet 16, no. 7 (2024): 230. http://dx.doi.org/10.3390/fi16070230.

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The Internet of Medical Things (IoMT) represents a specialized domain within the Internet of Things, focusing on medical devices that require regulatory approval to ensure patient safety. Trusted composition of IoMT systems aims to ensure high assurance of the entire composed system, despite potential variability in the assurance levels of individual components. Achieving this trustworthiness in IoMT systems, especially when using less-assured, commercial, off-the-shelf networks like Ethernet and WiFi, presents a significant challenge. To address this challenge, this paper advocates a systemat

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Zakilah Ifani, Aulyah, Vera Alviani, Dirna Suryanti, and Nurkhalik Wahdanial Asbara. "Pengoptimalan Internet of Medical Things (IoMT) untuk Pelayanan Kesehatan." Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) 9, no. 4 (2024): 234–38. https://doi.org/10.33772/jfe.v9i4.949.

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Health services are a critical aspect in the development of a society. In recent years, digital transformation has brought about major changes in various sectors, including the healthcare sector. The use of Internet of Medical Things (IOMT) information technology is increasingly important to optimize health information systems and improve the efficiency of health services. The purpose of the research is to explore various aspects of IOMT optimization in the context of health services. The method used is the waterfall method. This method proposes an approach to systematic and sequential softwar

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Joby, P. P. "A Review on Data Securing Techniques using Internet of Medical Things." September 2021 3, no. 3 (2021): 150–63. http://dx.doi.org/10.36548/jucct.2021.3.001.

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At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted

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Zhao, Zhuo, Chingfang Hsu, Lein Harn, Qing Yang, and Lulu Ke. "Lightweight Privacy-Preserving Data Sharing Scheme for Internet of Medical Things." Wireless Communications and Mobile Computing 2021 (September 12, 2021): 1–13. http://dx.doi.org/10.1155/2021/8402138.

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Internet of Medical Things (IoMT) is a kind of Internet of Things (IoT) that includes patients and medical sensors. Patients can share real-time medical data collected in IoMT with medical professionals. This enables medical professionals to provide patients with efficient medical services. Due to the high efficiency of cloud computing, patients prefer to share gathering medical information using cloud servers. However, sharing medical data on the cloud server will cause security issues, because these data involve the privacy of patients. Although recently many researchers have designed data s

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Rafique, Wajid, Maqbool Khan, Salabat Khan, and Juma Said Ally. "SecureMed: A Blockchain-Based Privacy-Preserving Framework for Internet of Medical Things." Wireless Communications and Mobile Computing 2023 (April 21, 2023): 1–14. http://dx.doi.org/10.1155/2023/2558469.

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The Internet of Medical Things (IoMT) connects a huge amount of smart sensors with the Internet for healthcare service provisioning. IoMT’s privacy-preserving becomes a challenge considering the life-saving data collected and transferred through IoMT. Traditional privacy protection techniques use centralized management strategies, which lead to a single point of failure, lack of trust, state modification, information disclosure, and identity theft. Edge computing enables local computation of IoMT data, which reduces traffic to the cloud and also helps in accomplishing latency-sensitive healthc

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Jeong, Yoon-Su, and Seung-Soo Shin. "Internet of Medical Things-Based Multiple Data Processing Techniques Optimized for Healthcare Environments." Journal of Computational and Theoretical Nanoscience 18, no. 5 (2021): 1506–12. http://dx.doi.org/10.1166/jctn.2021.9580.

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As IT technology has recently been combined with portable device (smartphones, tablets, etc.), demands for state-of-the-art infrastructure are growing. Among them, there is a need for IoMT technology that combines big data and IoT technologies into healthcare. In this paper, we propose a distributed management technique that can efficiently manage the health care (monitoring and chronic disease management, etc.) information of remote patients by applying various artificial intelligence-related technologies (big data analysis, blockchain, deep learning, etc.) to IoMT technology. The proposed te

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Alsadhan, Afnan, Areej Alhogail, and Hessah Alsalamah. "Blockchain-Based Privacy Preservation for the Internet of Medical Things: A Literature Review." Electronics 13, no. 19 (2024): 3832. http://dx.doi.org/10.3390/electronics13193832.

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The Internet of Medical Things (IoMT) is a rapidly expanding network comprising medical devices, sensors, and software that collect and exchange patient health data. Today, the IoMT has the potential to revolutionize healthcare by offering more personalized care to patients and improving the efficiency of healthcare delivery. However, the IoMT also introduces significant privacy concerns, particularly regarding data privacy. IoMT devices often collect and store large amounts of data about patients’ health. These data could be used to track patients’ movements, monitor their health habits, and

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Srivastava, Jyoti, Sidheswar Routray, Sultan Ahmad, and Mohammad Maqbool Waris. "Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress." Computational Intelligence and Neuroscience 2022 (July 16, 2022): 1–17. http://dx.doi.org/10.1155/2022/7218113.

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Internet of Medical Thing (IoMT) is the most emerging era of the Internet of Thing (IoT), which is exponentially gaining researchers’ attention with every passing day because of its wide applicability in Smart Healthcare systems (SHS). Because of the current pandemic situation, it is highly risky for an individual to visit the doctor for every small problem. Hence, using IoMT devices, we can easily monitor our day-to-day health records, and thereby initial precautions can be taken on our own. IoMT is playing a crucial role within the healthcare industry to increase the accuracy, reliability, a

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Huang, Xucheng, and Shah Nazir. "Evaluating Security of Internet of Medical Things Using the Analytic Network Process Method." Security and Communication Networks 2020 (September 1, 2020): 1–14. http://dx.doi.org/10.1155/2020/8829595.

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Internet of Medical Things (IoMT) plays an important role in healthcare. Different devices such as smart sensors, wearable devices, handheld, and many other devices are connected in a network in the form of Internet of Things (IoT) for the smooth running of communication in healthcare. Security of these devices in healthcare is important due to its nature of functionality and efficiency. An efficient and robust security system is in dire need to cope with the attacks, threats, and vulnerability. The security evaluation of IoMT is an issue since couple of years. Therefore, the aim of the propos

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Rajawat, Anand Singh, S. B. Goyal, Pradeep Bedi, Tony Jan, Md Whaiduzzaman, and Mukesh Prasad. "Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT)." Future Internet 15, no. 8 (2023): 271. http://dx.doi.org/10.3390/fi15080271.

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Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items such as small sensors/actuators and other cyber-physical devices (CPDs) in medical services. When these devices are linked together, they can support patients through medical monitoring, analysis, and reporting in more autonomous and intelligent ways. The IoMT devices; however, often do not have sufficient computing resources onboard for service and security assurance while the medical services handle large quantities of sensitive and private health-related data. This leads to several research problems on

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Stitini, Oumaima, Fathia Ouakasse, Said Rakrak, Soulaimane Kaloun, and Omar Bencharef. "Combining IoMT and XAI for Enhanced Triage Optimization: An MQTT Broker Approach with Contextual Recommendations for Improved Patient Priority Management in Healthcare." International Journal of Online and Biomedical Engineering (iJOE) 20, no. 07 (2024): 145–62. http://dx.doi.org/10.3991/ijoe.v20i07.47483.

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The widespread adoption of the Internet of Things has significantly enhanced our daily lives across various dimensions. E-health has significantly benefited from advancements in the Internet of Things (IoT), particularly with the emergence of the Internet of Medical Things (IoMT). A sophisticated wireless sensor network produces a huge amount of data, requiring robust cloud-based hardware for precise processing and categorization. The IoMT allows for the extensive gathering of medical data from incoming hospital patients, enabling real-time monitoring of vital signs and health statuses. Nevert

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R, Suganya, Sasikala P, Chinthamalla Lavanya, Syed Zahidur Rashid, Mohit Tiwari, and Vijayakumari G. "Internet of Medical Things Integrating IoT with Healthcare for Remote Monitoring and Diagnosis." ITM Web of Conferences 76 (2025): 03004. https://doi.org/10.1051/itmconf/20257603004.

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The Internet of Medical Things (IoMT): It is changing the healthcare sector in various ways by coupling the crucial aspects of IoT to monitor and diagnose patients remotely. Existing literature regarding IoMT applications has identified the high security vulnerabilities, unrealized real-world implementations, poor scalability, and high latency, but there are no proposed solutions to these challenges. It presents a robust Internet of Medical Things (IoMT) architecture which is real-time, secure, scalable, and enables remote health monitoring. By leveraging edge computing, AI, and blockchain-bas

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Gallo, Giovanni Donato, and Daniela Micucci. "Internet of Medical Things Systems Review: Insights into Non-Functional Factors." Sensors 25, no. 9 (2025): 2795. https://doi.org/10.3390/s25092795.

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Internet of Medical Things (IoMT) is a rapidly evolving field with the potential to bring significant changes to healthcare. While several surveys have examined the structure and operation of these systems, critical aspects such as interoperability, sustainability, security, runtime self-adaptation, and configurability are sometimes overlooked. Interoperability is essential for integrating data from various devices and platforms to provide a comprehensive view of a patient’s health. Sustainability addresses the environmental impact of IoMT technologies, crucial in the context of green computin

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R, Sindhuja, Kapse Arvind S., and Kapse Avinash S. "A Survey of Internet of Medical Things (IoMT) Applications, Architectures and Challenges in Smart Healthcare Systems." ITM Web of Conferences 56 (2023): 05013. http://dx.doi.org/10.1051/itmconf/20235605013.

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Internet of Medical Things (IoMT) or Healthcare IoT is a technological under IoT catering to the healthcare sector. It refers to the interconnection of medical devices, sensors, applications and systems to the Internet. IoMT enables the collection, transmission and analysis of patient’s data in real-time, allowing for remote monitoring and early detection of health issues. IoMT systems present a promising opportunity for prevention, prediction, and monitoring of emerging infectious diseases such as COVID-19. This paper provides a survey of IoMT devices, applications, benefits, challenges, and

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Sundar, R., Amit Gangopadhyay, T. Raghavendra Gupta, et al. "Heart health prediction and classification: An IoMT and AI collaborative model." MATEC Web of Conferences 392 (2024): 01142. http://dx.doi.org/10.1051/matecconf/202439201142.

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Internet of Things (IoT) technology has been used in medical care as the Internet of Medical Things (IoMT) to gather sensor data for diagnosing and predicting cardiac disease. IoMT allows users to access real-time tracking information and manually estimate the person's health using Machine Learning (ML) algorithms. The primary goal of the study proposal is to categorize data and forecast heart illness using health information and medical imagery. The suggested IoMT-based Heart Health Prediction and Classification (IoMT-HHPC) model is a medical data categorization and forecasting framework in t

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Rajput, Adil, Samara Ahmed, and Lora Kasher. "Patients’ Mental Health Data and Internet of Medical Things (IoMT) Safety: Analyzing Raspberry pi vulnerabilities." Rawal Medical Journal 49, no. 1 (2024): 1. http://dx.doi.org/10.5455/rmj.20240506101607.

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Objective: The goal of this study us to evaluate the safety of patient’s data in an Internet of Medical Things (IoMT) ecosystem. The study focuses on three main objectives: To assess the vulnerability of IoMT devices and systems to cyber threats and data breaches. Specifically, we look at the vulnerability of the raspberry pi servers that are considered the essential building block of an IOT/IOMT environment; to pinpoint vulnerability areas of IoMT ecosystem; and to identify and propose mitigation strategies for the key risks associated with the IoMT ecosystem. Methodology The study employed s

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Arora, Pallavi, Baljeet Kaur, and Marcio Andrey Teixeira. "CYBERSECURITY IN IIOT AND IOMT NETWORKS USING MACHINE LEARNING ALGORITHMS - A SURVEY." ICTACT Journal on Communication Technology 12, no. 4 (2021): 2577–81. http://dx.doi.org/10.21917/ijct.2021.0381.

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Abstract (sommario):

Rapid advancements in micro-computing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have allowed for innovative Internet of Things (IoT) solutions to redefine numerous networking applications. With the emergence of IoT branches such as the Internet of Medical Things (IoMT) and the Industrial Internet of Things (IIoT), healthcare and industrial systems have been changed by IoT. This paper presents an overview of the technologies that are being used to secure IoMT as well as IIoT frameworks seen within the research articles.

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Elsayeh, Muhammad, Kadry Ali Ezzat, Hany El-Nashar, and Lamia Nabil Omran. "CYBERSECURITY ARCHITECTURE FOR THE INTERNET OF MEDICAL THINGS AND CONNECTED DEVICES USING BLOCKCHAIN." Biomedical Engineering: Applications, Basis and Communications 33, no. 02 (2021): 2150013. http://dx.doi.org/10.4015/s1016237221500137.

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Abstract (sommario):

The internet of medical things (IoMT) has a great role in improving the health around the world. IoMT is having a great impact in our life in which the clinical data of the patient is observed and checked and then can be transferred to the third party for using in the future such as the cloud. IoMT is a huge data system with a continuous developing rate, which implies that we should keep a lot of data secure. We propose a combined security architecture that fuses the standard architecture and new blockchain technology. Blockchain is a temper digital ledger which gives peer-to-peer communicatio

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Sadhu, Pintu Kumar, Venkata P. Yanambaka, Ahmed Abdelgawad, and Kumar Yelamarthi. "Prospect of Internet of Medical Things: A Review on Security Requirements and Solutions." Sensors 22, no. 15 (2022): 5517. http://dx.doi.org/10.3390/s22155517.

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With the widespread and increasing use of Internet-of-Things (IoT) devices in all aspects of daily life, a hopeful future for people, data, and processes is emerging. Extensive spans allow for an integrated life cycle to be created from home to enterprise. The Internet of Medical things (IoMT) forms a flourishing surface that incorporates the sensitive information of human life being sent to doctors or hospitals. These open an enormous space for hackers to utilize flaws of the IoMT network to make a profit. This creates a demand for standardizing regulations and a secure system. Though many au

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Safdar, Zanab, Kalsoom Safdar, Ruqia Safdar Bajwa, Shafiq Hussain, and Ahmad Karim. "Internet of Medical Things (IoMT) for Covid-19 Epidemic Affected People." South Asian Journal of Social Sciences and Humanities 2, no. 5 (2021): 65–84. http://dx.doi.org/10.48165/sajssh.2021.2505.

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Abstract (sommario):

i. Purpose of the study: Due to the rapid increase of COVID-19 cases, it has become challenging for the entire world to identify and treat infected patients at existing hospitals. In order to stop the spread of COVID-19, diseased persons need to be isolated for treatment. Hence, there is an enormous necessity to identify, monitor, and isolate patients to analyze their current situation and improve diagnostic accuracy to prevent more spread and deaths. ii. Methodology: Providentially, the recent advances in Information and communications technology (ICT) like the Internet of Medical Things (IoM

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Sarkar, Mekhla, Tsong-Hai Lee, and Prasan Kumar Sahoo. "Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence." Electronics 13, no. 12 (2024): 2309. http://dx.doi.org/10.3390/electronics13122309.

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Abstract (sommario):

Ambient Intelligence (AMI) represents a significant advancement in information technology that is perceptive, adaptable, and finely attuned to human needs. It holds immense promise across diverse domains, with particular relevance to healthcare. The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) to create an AMI environment in medical contexts further enriches this concept within healthcare. This survey provides invaluable insights for both researchers and practitioners in the healthcare sector by reviewing the incorporation of AMI techniques in the IoMT

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Hemmati, Atefeh, and Amir Masoud Rahmani. "Internet of Medical Things in the COVID-19 Era: A Systematic Literature Review." Sustainability 14, no. 19 (2022): 12637. http://dx.doi.org/10.3390/su141912637.

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Abstract (sommario):

In recent years, the medical industry has rapidly modernized, incorporating technology to aid in accelerating and simplifying procedures for better accuracy. This technology is becoming more interconnected to create a larger network known as the Internet of Medical Things (IoMT) that can combat the pandemic’s spread. In other words, IoMT emphasizes health applications while maintaining the core concept of the Internet of Things (IoT). The further spread of Coronavirus Disease-2019 (COVID-19) can be halted by employing it. Consequently, this paper uses the Systematic Literature Review (SLR) met

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Alkatheiri, Mohammed Saeed, and Ahmed S. Alghamdi. "Blockchain-Assisted Cybersecurity for the Internet of Medical Things in the Healthcare Industry." Electronics 12, no. 8 (2023): 1801. http://dx.doi.org/10.3390/electronics12081801.

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Abstract (sommario):

The Internet of Medical Things (IoMT) plays an important role in strengthening sustainable healthcare systems. IoMT significantly influences our healthcare because it facilitates monitoring and checking patient medical information before transferring the data to a cloud network for future use. The IoMT is a big-data platform which is growing rapidly, so it is critical to maintain all data safely and securely. In this study, Blockchain-Assisted Cybersecurity (BCCS) for the IoMT in the healthcare industry is proposed. Blockchain is a decentralized digital ledger that allows end-to-end communicat

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Bughio, Kulsoom S., David M. Cook, and Syed Afaq A. Shah. "Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring." Sensors 24, no. 9 (2024): 2804. http://dx.doi.org/10.3390/s24092804.

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Abstract (sommario):

IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT integrates medical devices for real-time data analysis and transmission but faces challenges in data security and interoperability. This research identifies a significant gap in the existing literature regarding a comprehensive ontology for vulnerabilities in medical IoT devices. This paper proposes a fundamental domain ontology named MIoT (Medical Internet of Things) ontology, focusing on cybersecurity in IoMT (Internet of Medical Things), particularly in remote patient monitoring settings. This rese

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Chaganti, Rajasekhar, Azrour Mourade, Vinayakumar Ravi, Naga Vemprala, Amit Dua, and Bharat Bhushan. "A Particle Swarm Optimization and Deep Learning Approach for Intrusion Detection System in Internet of Medical Things." Sustainability 14, no. 19 (2022): 12828. http://dx.doi.org/10.3390/su141912828.

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Abstract (sommario):

Integrating the internet of things (IoT) in medical applications has significantly improved healthcare operations and patient treatment activities. Real-time patient monitoring and remote diagnostics allow the physician to serve more patients and save human lives using internet of medical things (IoMT) technology. However, IoMT devices are prone to cyber attacks, and security and privacy have been a concern. The IoMT devices operate on low computing and low memory, and implementing security technology on IoMT devices is not feasible. In this article, we propose particle swarm optimization deep

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Cano, Maria-Dolores, and Antonio Cañavate-Sanchez. "Preserving Data Privacy in the Internet of Medical Things Using Dual Signature ECDSA." Security and Communication Networks 2020 (June 10, 2020): 1–9. http://dx.doi.org/10.1155/2020/4960964.

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Abstract (sommario):

The disclosure of personal and private information is one of the main challenges of the Internet of Medical Things (IoMT). Most IoMT-based services, applications, and platforms follow a common architecture where wearables or other medical devices capture data that are forwarded to the cloud. In this scenario, edge computing brings new opportunities to enhance the operation of IoMT. However, despite the benefits, the inherent characteristics of edge computing require countermeasures to address the security and privacy issues that IoMT gives rise to. The restrictions of IoT devices in terms of b

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Hameed, Shilan S., Wan Haslina Hassan, Liza Abdul Latiff, and Fahad Ghabban. "A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches." PeerJ Computer Science 7 (March 23, 2021): e414. http://dx.doi.org/10.7717/peerj-cs.414.

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Abstract (sommario):

Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional healthcare system. However, little attention has been paid to their security requirements in the development of the IoMT devices and systems. One of the main reasons can be the difficulty of tuning conventional security solutions to the IoMT system. Machine Learning (ML) has been successfully employed in the attack detection and mitigation process. Advanced ML technique can also be a promising approach to address the existing and anticipated IoMT security and privacy issues. However, because of the existin

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Mulo, John, Hengshuo Liang, Mian Qian, et al. "Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things." Future Internet 17, no. 3 (2025): 107. https://doi.org/10.3390/fi17030107.

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Abstract (sommario):

Integrating deep learning (DL) with the Internet of Medical Things (IoMT) is a paradigm shift in modern healthcare, offering enormous opportunities for patient care, diagnostics, and treatment. Implementing DL with IoMT has the potential to deliver better diagnosis, treatment, and patient management. However, the practical implementation has challenges, including data quality, privacy, interoperability, and limited computational resources. This survey article provides a conceptual IoMT framework for healthcare, synthesizes and identifies the state-of-the-art solutions that tackle the challenge

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Wang, Kuan, Mingxuan Song, Genqing Bian, Bilin Shao, and Kaiqi Huang. "A Lightweight Identity-Based Network Coding Scheme for Internet of Medical Things." Electronics 13, no. 7 (2024): 1316. http://dx.doi.org/10.3390/electronics13071316.

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Abstract (sommario):

Network coding is a potent technique extensively utilized in decentralized Internet of Things (IoT) systems, including the Internet of Medical Things (IoMT). Nevertheless, the inherent packet-mixing characteristics of network coding expose data transmission to pollution attacks, potentially compromising the integrity of original files. The homomorphic signature scheme serves as a robust cryptographic tool that can bolster network coding’s resilience against such attacks. However, current schemes are computationally intensive for signature verification, making them impractical for IoMT environm

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