New Technologies and Smart Solutions in IoT-Based Personalized Healthcare Applications, Volume 2

Dear Colleagues,

Health systems are undergoing a real technological revolution, radically changing how medical services are provided, thanks to the wide employment of the Internet of Things (IoT) platforms supporting advanced monitoring services and intelligent inference systems. Internet of Medical Things (IoMT) platforms are opening new frontiers in in-home medical care, allowing integrated, capillary and precise monitoring of patients’ conditions; reduced management costs; better diagnosis; earlier prevention; continuous tracking; and more rapid intervention. These platforms aim to provide a secure connection to source devices to collect data, process them to extract helpful information, and securely store them. Several technologies can be exploited and combined in IoT (Internet of Things) platforms, such as advanced sensing, wearable devices, cloud and fog computing, as well as predictive and inference techniques. Wearable devices are powerful tools for supporting IoT systems because of their sensing, processing, and communication capabilities. Particularly, they allow the detection of patients’ vital parameters (e.g., heart rate (HR), oxygen saturation (SpO₂), body temperature, blood pressure (BP), etc.) through advanced sensors positioned in direct contact with the skin, providing advantages such as continuous monitoring, reduced health costs and hospitalization times and the more straightforward prescription of preventive care, which is crucial for elderly people and infants. Moreover, the development of advanced sensing devices for monitoring biophysical and environmental parameters featured by small sizes, reduced power consumption, non-invasiveness, and flexibility is fundamental for developing the next generation of wearable devices.

Summing up, this Special Issue titled “New Technologies and Smart Solutions in IoT-Based Personalized Healthcare Applications” aims to bring together innovative developments and synergies in the following topics (not an exhaustive list):

• Medical IoT platforms for remote patient monitoring;
• Privacy and security of individuals’ medical data against unauthorized access;
• Healthcare data management platforms of healthcare IoT devices;
• Blockchain for healthcare data management;
• IoT platforms for COVID-19 prevention and control
• Fog-computing-based IoT for health monitoring systems;
• Machine learning algorithms for medical diagnosis;
• Electronic wearable solutions for IoT-based health monitoring applications (glucose, heart rate, depression and mood, Parkinson’s disease, etc.)
• Wearable systems for biophysical parameters detection: electronic issues;
• Wearable devices for assisting people with physical disabilities, active living, and rehabilitation;
• Ingestible and implantable sensors for collecting data from inside the human body;
• Electronic wearable solutions for smart homes and workplaces;
• Low-power electronic solutions for signal acquisition/processing from wearable sensors;
• Embedded solutions and platforms for data processing: firmware issues and applications;
• Software development for wearable sensors and body sensor networks. 

Finally, I would like to thank Dr. Fazio Roberto and Prof. Bassam Al-Naami for their valuable work in assisting me with this special issue.

Dr. Paolo Visconti
Guest Editor

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• IoT
• healthcare applications