Internet of Things in Healthcare: Applications, Infrastructures and Smart Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 4560
Special Issue Editor
Interests: artificial intelligence; personalized medicine; patient-centric care; healthcare IoT; biomedical data integration; precision health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Innovative and revolutionary healthcare services and applications have been made possible thanks to the great success of the Internet of Things (IoT) paradigm. A myriad of sensors in our life environment also enable the capturing of non-stop and real-time health information of an individual and their related behavior—information that, often in an aggregated manner, can be exploited for monitoring, treatments, and interventions in real-time. Starting from smart wearable or implantable sensors to remote monitoring of elderly, medical device networking, it is possible, in general, to create network infrastructures, innovative applications, and pervasive environments to monitor patient health and safety, as well as improve how physicians deliver care. This Special Issue focuses on the design, development, performance evaluation, and experimentation of innovative IoT enabling technologies in healthcare applications. Novel IoT applications leveraging deep and machine learning concepts in healthcare are also aims of this Special Issue. Potential interesting topics for this Special Issue include but are not limited to:
- Wearable IoT devices and systems in healthcare applications;
- Real-time IoT medical and clinical data analysis on cloud, fog, and edge computing.
- Localization, personalization, and contextualization of IoT data in healthcare applications;
- Development of smart IoT sensors’ cyberphysical ecosystems in healthcare;
- Management and integration of IoT devices in a healthcare environment;
- Security and privacy for IoT devices with limited computing resources and connectivity in healthcare;
- IoT information visualization, human performance monitoring, and IoT integration in healthcare
- Data science and data analytics in IoT infrastructures for healthcare;
- IoT intelligent sensing technologies for healthcare;
- Big data technologies for healthcare solutions;
- Blockchain service for IoT-based healthcare applications;
- Application of deep learning methods to health data;
- Novel IoT architectures for scalable health data analysis and mining;
- IoT data for early disease diagnosis and treatment prediction;
- Clinical decision support in disease diagnosis and treatment;
- Data analytics for pervasive computing for medical care,
- Deep and machine learning approaches for IoT-based health applications.
Dr. Agostino Forestiero
Guest Editor
Manuscript Submission Information
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