Sensor Networks Technologies for E-Health Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 485
Special Issue Editors
Interests: embedded and smart systems for e-health; immersive technologies in health and training; IT and haptic devices in higher education (remote and virtual labs); immersive technologies integration with collaborative robots for rehab; distance assisted rehab and aging
Special Issues, Collections and Topics in MDPI journals
Interests: cyber-physical systems; data analysis and processing; intelligent systems; wireless sensor networks; sensor data fusion; remote and virtual laboratories; geographic information systems; soft computing; supervision and fault diagnosis; predictive maintenance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital Technologies are offering many diversified innovative advances and solutions in the health area. At the applications level, the democratization of dedicated embedded systems, smart systems and virtual healthcare delivery, issues such as cyber security, data analytics, and also customer experience are receiving the interest of researchers and developers.
All these innovations bring advances in prevention, diagnostics, treatment, and monitoring, with improvements in patient outcomes.
The research and development in machine learning (ML), involving methodologies supported, for example, by deep learning (DL) and natural language processing (NLP), offers algorithms and approaches for building intelligent systems for the health area in general.
This Special Issue aims to present new applied tech solutions in health, healthcare, rehabilitation, ageing, including new signal processing tools and machine learning methodologies. The content should be related to, but is not limited to, the following topics:
- embedded systems;
- wearable tech;
- big data;
- AI and ML;
- intelligent systems;
- technologies (nutrition; fitness; wellbeing; ageing; behavioural and brain health)
Dr. Maria Teresa Restivo
Dr. Alberto Cardoso
Guest Editors
Manuscript Submission Information
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Keywords
- augmented reality
- virtual reality
- haptic systems
- collaborative robots
- soft robotics
- augmented feedback
- machine learning
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