Special Issue "Internet of Medical Things in Smart Cities: Issues and Solutions"

Submission Deadline: 30 July 2021
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Guest Editors
Dr. Rabie A. Ramadan, Hail University, Saudi Arabia.
Dr. Aboul Ella Hassanien, Cairo University, Egypt.

Summary

The Internet of Medical Things (IoMT) enables medical devices to connect with people, and eventually with other medical devices in the same vicinity. The combination of IoMT and health services can improve patients' quality of life, provide better care options, and create more cost-effective healthcare systems. The increase in IoT-enabled technologies, such as IoMT, is driven in part by the rise in the number of connected medical devices that can generate, collect, analyze or transmit health data or images and connect to healthcare provider networks, sending data to either a cloud repository or internal servers. Ultimately, this connectivity between medical devices, sensors, and other technology makes clinical workflow management much more manageable.

The biggest opportunity for smart cities is in healthcare - more specifically, IoMT. Although the market has been slower than some other industries, it has been predicted that the IoMT market is likely to reach $137 billion with 3.7 million connected devices worldwide by 2021. IoMT industry is expected to grow exponentially in the coming few years. At the same time, researchers are now realizing that IoMT could be the most promising technology in the near future.

Despite the potential benefits, there are many issues associated with medical image analysis, including scalability, platforms, security, and real-time analysis. Different solutions to those issues involve various future track topics, including blockchain, security, steganography, optimization, machine learning, smart system, and so on.

Technical Scope of the Proposal:

This special issue aims at addressing different topics across multiple abstraction levels, ranging from architectural models, the provisioning of services, protocols, and interfaces to specific implementation approaches. It aims to present the most important and relevant advances to overcome the challenges related to healthcare and effective solutions in future smart cities. We seek original and high-quality submissions on, but not limited to, one or more of the following topics:

• Remote patient monitoring.

• IoMT cybersecurity.

• Telehealth virtual consulting.

• IoMT for administrative or clinical functions.

• Big Data analysis of clinical data.

• State-of-the-art smart city devices used for healthcare.

• Privacy preservation techniques for medical data.

• Augmented cities.

• Biosensors for smart healthcare.

• IoT devices for smart city healthcare services.

• Image processing for healthcare applications.

• IoMT protocols and standards.

• Data mining, machine learning and signal processing.

• Wireless and Mobile devices for IoMT.

Significance and Relevance to This Journal.

The aim and scope of this special issue are to establish a foundation that fosters research and development initiatives to produce publishable, applicable results, and solutions that are focused on Internet of healthcare. This issue provides a platform for discussing evolving challenges identifying next-generation research areas in IoMT. It also aims to attract quality research that investigates the state-of-the-art research, challenges, experiences, applications, and opinions relevant to IoMT in the context of:

• Industrial practitioners who may be interested in tools, practical applications, and frameworks and IoMT solutions in an industrial context.

• Policy makers and public as decision maker and administrative authorities can assess the recent advances of IoMT as part of public infrastructure and enhanced urban services such as healthcare.

• Academia as researchers who work on the field of healthcare, Internet of things, big data analytics, and artificial intelligence.

Schedule of Deadlines (could be modified based on the journal editorial board).


Keywords
• Smart Cities
• Internet of Medical Things
• Healthcare
• Artificial Intelligence
• Image Processing
• Big Data Analytics