Contemplate on Internet of Things Transforming as Medical Devices - The Internet of Medical Things (IOMT)

Premalatha, V.; Sreedevi, E. P.; Sivakumar, S. Srinivasa

doi:10.1109/iss1.2019.8908090

Cited by 11 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among them, PremaLatha et al, are introduced IoT in healthcare named as IoMT of devices in medical are equipped with WiFi. 27 The authors were elaborated impact of IoMT in healthcare in terms of enhancement of operational efficiency, the ability of digital innovation, and the extension of industry ecosystems. Similar to what these authors mentioned, we built the MEDBIZ platform composed of IoMT, core, analytics, and services components, and demonstrated the empirical studies that could be provided real-time healthcare services within the digital health ecosystem by using it.…”

Section: Discussionmentioning

confidence: 99%

Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform

Lee

Erdenbayar

et al. 2023

DIGITAL HEALTH

View full text Add to dashboard Cite

The aim of this study was to introduce the implemented MEDBIZ platform based on the internet of medical things (IoMT) supporting real-time digital health services for precision medicine. In addition, we demonstrated four empirical studies of the digital health ecosystem that could provide real-time healthcare services based on IoMT using real-world data from in-hospital and out-hospital patients. Implemented MEDBIZ platform based on the IoMT devices and big data to provide digital healthcare services to the enterprise and users. The big data platform is consisting of four main components: IoMT, core, analytics, and services. Among the implemented MEDBIZ platform, we performed four clinical trials that designed monitoring services related to chronic obstructive pulmonary disease, metabolic syndrome, arrhythmia, and diabetes mellitus. Of the four empirical studies on monitoring services, two had been completed and the rest were still in progress. In the metabolic syndrome monitoring service, two studies were reported. One was reported that intervention components, especially wearable devices and mobile apps, made systolic blood pressure, diastolic blood pressure, waist circumference, and glycosylated hemoglobin decrease after 6 months. Another one was presented that increasing high-density lipoprotein cholesterol and triglyceride levels were prevented in participants with the pre-metabolic syndrome. Also, self-care using healthcare devices might help prevent and manage metabolic syndrome. In the arrhythmia monitoring service, during the real-time monitoring of vital signs remotely at the monitoring center, 318 (15.9%) general hikers found abnormal signals, and 296 (93.1%) people were recommended for treatment. We demonstrated the implemented MEDBIZ platform based on IoMT supporting digital healthcare services by acquiring real-world data for getting real-world evidence. And then through this platform, we were developing software as a medical device, digital therapeutics, and digital healthcare services, and contributing to the development of the digital health ecosystem.

show abstract

Section: Discussionmentioning

confidence: 99%

Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform

Lee

Erdenbayar

et al. 2023

DIGITAL HEALTH

View full text Add to dashboard Cite

show abstract

“…The informational index comprising 90,000 tweets has been extracted from , accessed on 10 October 2021, and it includes clean tweets on particular words like coronavirus, COVID, lockdown, etc. The dataset [ 21 ] is comprising of eliminated tweets from the original dataset taken into consideration for examination.…”

Section: Methodsmentioning

confidence: 99%

Feature-Based Sentimental Analysis on Public Attention towards COVID-19 Using CUDA-SADBM Classification Model

Pathuri

Anbazhagan

Joshi

et al. 2021

Sensors

View full text Add to dashboard Cite

The COVID-19 pandemic has spread to almost all countries of the World and affected people both mentally and economically. The primary motivation of this research is to construct a model that takes reviews or evaluations from several people who are affected with COVID-19. As the number of cases has accelerated day by day, people are becoming panicked and concerned about their health. A good model may be helpful to provide accurate statistics in interpreting the actual records about the pandemic. In the proposed work, for sentimental analysis, a unique classifier named the Sentimental DataBase Miner algorithm (SADBM) is used to categorize the opinions and parallel processing, and is applied on the data collected from various online social media websites like Twitter, Facebook, and Linkedin. The accuracy of the proposed model is validated with trained data and compared with basic classifiers, such as logistic regression and decision tree . The proposed algorithm is executed on CPU as well as GPU and calculated the acceleration ratio of the model. The results show that the proposed model provides the best accuracy compared with the other two models, i.e., 96% (GPU).

show abstract

“…Medical devices, equipment, sensors and applications that use wireless networks and the Internet to connect are referred to as the Internet of medical things (IoMT), 1 formerly also referred to as the medical Internet of things. 2 Their rapid spread in recent years has enabled the collection of patient health data, patient monitoring, automation of certain processes and subsequent analysis of the data collected.…”

Section: Introductionmentioning

confidence: 99%

Internet of Medical Things Security Frameworks for Risk Assessment and Management: A Scoping Review

Svandova,

Smutny

2024

JMDH

View full text Add to dashboard Cite

Background The massive expansion of the Internet of medical things (IoMT) technology brings many opportunities for improving healthcare. At the same time, their use increases security risks, brings security and privacy concerns, and threatens the functioning of healthcare facilities or healthcare provision. Purpose This scoping review aims to identify progress in designing risk assessment and management frameworks for IoMT security. The frameworks found are divided into two groups according to whether frameworks address the technological design of risk management or assess technological measures to ensure the security of the IoMT environment. Furthermore, the article intends to find out whether frameworks also include an assessment of organisational measures related to IoMT security. Methods This review was prepared using PRISMA ScR guidelines. Relevant studies were searched in the citation databases Web of Science and Scopus. The search was limited to articles published in English between 2018 and 17 September 2023. The initial search yielded 1341 articles, of which 44 (3.3%) were included in the scoping review. A qualitative content analysis focused on selected security perspectives and progress in the given area was carried out. Results Thirty-two articles describe the design of risk assessment and management frameworks. Twelve articles describe the design of frameworks for assessing the security of IoMT devices and possibly offer a comparison of different IoMT alternatives. A description of the included articles was prepared from the selected security perspectives. Conclusion The review shows the need to create comprehensive or holistic frameworks for operational security and privacy risk management at all layers of the IoMT architecture. It includes the design of specific technological solutions and frameworks for continuously assessing the overall level of information security and privacy of the IoMT environment. Unfortunately, none of the found frameworks offer an assessment of organizational measures even though the importance of the organization measures was highlighted in articles. Another area of interest for researchers could be the design of a general risk management database for IoMT, which would include potential IoMT-related risks connected to a particular device.

show abstract

Contemplate on Internet of Things Transforming as Medical Devices - The Internet of Medical Things (IOMT)

Cited by 11 publications

References 10 publications

Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform

Internet of medical things-based real-time digital health service for precision medicine: Empirical studies using MEDBIZ platform

Feature-Based Sentimental Analysis on Public Attention towards COVID-19 Using CUDA-SADBM Classification Model

Internet of Medical Things Security Frameworks for Risk Assessment and Management: A Scoping Review

Contact Info

Product

Resources

About