An Edge – IoT Framework and Prototype based on Blockchain for Smart Healthcare Applications

Alshammari, Nawaf; Syed, Tehreem; Syed, M. B.

doi:10.48084/etasr.4245

Cited by 35 publications

(14 citation statements)

References 14 publications

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“…American companies were the first to develop a wearable telemedicine monitoring system. The patient wears the device on the body, the device can detect the human body's ECG signal, and the patient can observe their own ECG signal through the device [ 14 , 15 ]. The device stores the collected data and location information in the computer, analyzes and processes the data through special software, and finally forms a data analysis diagram for reference [ 16 ].…”

Section: Methods For the Selection Of T1 Stage Renal Tumor Resection ...mentioning

confidence: 99%

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Zong

Xia

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Smart medical uses the medical information platform and the current technological means to enable the process of sharing information between medical staff and medical equipment. The combination of current technology and the medical field has become the norm. In the future, more artificial intelligence technologies will be integrated into the medical field to promote the development of medical care. At present, the information on the Internet is very large and complex, and general search engines often do not have knowledge in certain professional fields and can only perform shallow keyword searches. Therefore, it is difficult to meet people’s medical diagnosis needs, and smart medical care can solve these needs. Medical imaging refers to the technology or process of obtaining internal tissue images of a certain part of the human body for medical research, including medical imaging systems and medical image processing. Medical image processing refers to the further processing of the obtained images, the purpose of which is either to restore the original image that was not clear enough or to highlight some characteristic information in the image. The purpose of this paper is to study the research on the selection of T1 stage renal tumor resection based on the imaging MAP score under smart medical care. It is hoped that through smart medicine and medical imaging technology, it can help renal tumor resection, reduce the sequelae of renal tumor resection, and promote the development of medical services. This paper proposes applying natural language processing technology to the medical field, creating an intelligent diagnosis assistance system, and using the existing medical record data to realize the corresponding medical assistance functions. It studies the class imbalance problem prevalent in medical datasets and provides better solutions through ensemble learning techniques to improve classifier performance when the number of positive and negative samples is unbalanced. The experimental results in this paper show that the creatinine of patients undergoing renal tumor resection combined with smart medicine and imaging technology is stable at 75 mol/L, while the creatinine is stable at 71 mol/L in other methods. It shows that the postoperative effect of smart medical treatment and imaging technology is better.

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Section: Methods For the Selection Of T1 Stage Renal Tumor Resection ...mentioning

confidence: 99%

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Zong

Xia

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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“…The work 37 presents an Edge-IoT framework and prototype based on blockchain for smart healthcare applications. An optimized Crow search algorithm from the ML field is used for intrusion detection and tampering of data extraction.…”

Section: Resultsmentioning

confidence: 99%

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

Svandova,

Smutny

2024

JMDH

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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.

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“…These studies show that there is room for further improvement in the QoS of IoT. As IoT applications are vital in different parts of life, such as health monitoring [13,14] or intrusion detection [15], there is still a need to improve existing algorithms and improve the throughput, latency, packet loss, and performance of the IoT server by reducing the number of packets.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced Software Framework for Improving QoS in IoT

Tomer

Gandhi²

2022

Eng. Technol. Appl. Sci. Res.

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Internet of Things (IoT) and Artificial Intelligence (AI) with its subcomponents are the latest emerging technologies that make our daily lives easier. Quality of Service (QoS) plays a very important role in IoT due to the large number of interconnected nodes. QoS is inversely dependent on the node count, i.e. the increment of nodes causes hampering to QoS, as increasing the number of nodes increases the number of requests to the IoT server. An enhanced framework is strongly needed to control QoS in IoT applications. This study proposes and implements an enhanced framework using Matlab, to control the number of requests. The proposed model can improve QoS parameters like throughput, latency, and packet loss by reducing the number of requests generated by the end nodes without compromising the services to the end user. The results showed that QoS parameters improved in terms of throughput by 5-10%, packet loss by up to 6%, and packet latency by 4%. This model can also be tested in hardware and may provide a better QoS solution.

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An Edge – IoT Framework and Prototype based on Blockchain for Smart Healthcare Applications

Cited by 35 publications

References 14 publications

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care

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

An Enhanced Software Framework for Improving QoS in IoT

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