Special Issue "Sensors and IoT in Modern Healthcare Delivery and Applications"
Deadline for manuscript submissions: 31 August 2021.
Interests: Activity Recognition; Digital Health; IoT; Smart Home and Smart City; RFID systems; Applied and Computational Mathematics in Biology
Interests: beamforming; massive antennas; 5G mobile communications; active antennas; beam steering antennas; MIMO antennas; energy-efficient power amplifiers
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With the rising numbers of chronic disease incidence and global population density, the demand for cost-effective healthcare is unprecedented. However, with the evolving health conditions, traditional healthcare systems become ineffective to satisfy the continuously growing needs of our developing society. The Internet of Things (IoT) and sensor networks are emerging technologies of multidisciplinary approach and exceptional popularity in healthcare. Sensor networks comprise resource-constrained devices to gather data from the environment, allowing the continuous and real-time collection of an individual’s health information and their related behaviour. The IoT serves as a bridging platform that connects the physical world and cyberspace so that healthcare services and applications are delivered with high efficiency and productivity. The evolving ecosystem of IoT and sensor networks as a technological paradigm in healthcare have revolutionised different aspects of traditional healthcare and ambient assisted living paradigms. The integration of IoT devices with medical applications improves their performance, resulting in high-quality service to patients. IoT and sensor networks are prevalent in connected health or technology-enabled care and its variants, including telehealth, mHealth and eHealth, and thus improve healthcare delivery and diagnostic tools. Nonetheless, further research efforts on IoT systems, sensor networks and architectures for large-scale deployments is imperative to bridge the gaps between cost-effective implementations and seamless service requirements. This Special Issue aims at addressing topics on new contributions to the state-of-the-art in various domains of IoT and sensor networks, ranging from architectural models to specific implementation approaches. Additionally, focus will be given to areas related to data analytics and machine learning and deep learning in modelling and deploying secure and trustworthy energy-aware solutions in IoT. Further, advances and challenges related to deploying sensor and wireless network for IoT-based healthcare solutions are desirable.
Dr. George Oguntala
Prof. Yim-Fun Hu
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- technology-enabled care architectures and applications for IoT
- Internet of Wearable Things
- sensor networks
- activity recognition
- antenna and sensor design for IoT
- Ambient Intelligence
- threat modelling and risk assessment in IoT
- trust and identity management in IoT for healthcare delivery
- interpretable machine learning and bioinformatics
- testbed and experimental results for IoT
- state-of-the-art IoT devices
- physical, physiological, cognitive and behavioural processes