Application of Sensors and IoT in Modern Healthcare Delivery—Second Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (20 January 2025) | Viewed by 1399
Special Issue Editor
Interests: activity recognition; digital health; IoT; smart home and smart city; RFID systems; applied and computational mathematics in biology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rise in chronic disease incidence and global population density has led to unprecedented demand for cost-effective healthcare. However, with the evolution of health conditions and the development of society, traditional healthcare systems are becoming ineffective. The Internet of Things (IoT) and sensor networks are emerging technologies that utilize a multidisciplinary approach and are exceptionally popular in healthcare. Sensor networks comprise resource-constrained devices that gather data from the environment, allowing for the continuous, real-time collection of an individual’s health information and behaviour. The IoT serves as a bridging platform that connects the physical world and cyberspace, enabling healthcare services and applications to be delivered with high efficiency and productivity. The evolving ecosystem of the IoT and sensor networks as a technological paradigm in healthcare have revolutionised traditional healthcare and ambient assisted-living paradigms. The integration of IoT devices with medical applications improves their performance, resulting in the provision of 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 their large-scale deployment is imperative to bridge the gap between cost-effective implementation and seamless service. This Special Issue aims to address new contributions to the state of the art in various domains of the IoT and sensor networks, ranging from architectural models to specific implementation approaches. Additionally, focus will be placed on data analytics, modelling using machine learning and deep learning and deploying secure and trustworthy energy-aware solutions in the IoT. Further, we welcome contributions on the advances and challenges in deploying sensor and wireless networks for IoT-based healthcare solutions.
Dr. George Oguntala
Guest Editor
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Keywords
- 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
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