Dear Colleagues,

The study and implementation of increasingly miniaturized sensors have led the development of wearable devices connected to Internet, which can be used to monitor ubiquitously physiological parameters and activities, including medical procedures, in several kinds of situations and environments.

The technological advances in wearable sensors, network communication, and data sciences led to the conception of the Internet of Biomedical Things (IoBT) and to the exploration of several possible applications of physical and chemical sensors, ranging from telemedicine intelligence to telerobotics for surgical assistance, from ambient assisted living to cognitive coaching.

Multidisciplinary theoretical and practical skills are often required to collect, process, and analyze the data (signals, images, etc.) obtained by systems of biomedical thing, in order to evaluate biophysical responses and correlate them with context parameters and external factors. To this end, intelligent computational models that deal with real-time big data multimedia information are needed for performance evaluation, adaptive planning, rehabilitation, prevention, or simulation to highlight and discriminate among different pathologies and allow for targeted decisions.

This Special Issue, titled "Wearable Sensors and Internet of Things for Biomedical Monitoring", intends to explore the scientific-technological frontier that underlies the optimal solution of the above-mentioned problems, while involving the development and use of innovative sensors and smart methods for the interpretation of data and scenarios.

Dr. Massimo Martinelli
Dr. Davide Moroni
Prof. Dr. Aleš Procházka
Guest Editors

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• biological signals and sensors
• telemedicine, telemonitoring, and telecare
• artificial intelligence
• digital signal and image processing
• biological activities
• medical activities
• motion analysis
• multimedia data analysis
• internal or external proximity, depth, and motion sensors
• acoustic, magnetic, electric, inductive, mechanical, and thermal sensors
• textile sensors and advanced materials
• sensors’ data aggregation and fusion
• pervasive computing on the Internet of Biomedical Things
• privacy and data protection in the Internet of Biomedical Things
• machine-learning approaches in the Internet of Biomedical Things
• wearable sensors and cloud computing on the Internet of Biomedical Things