IoT for Healthcare and Wellbeing: Trends, Challenges, and Applications, 3rd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 May 2026 | Viewed by 5
Special Issue Editors
Interests: artificial neural networks; machine learning; deep learning; e-health; embedded systems; biomedical instrumentation
Special Issues, Collections and Topics in MDPI journals
Interests: embedded systems; biomedical instrumentation; e-health; sensors; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: embedded systems; biomedical instrumentation; sensors; IoT; neuromorphic engineering; artificial vision; robotics
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical engineering; deep learning; medical imaging; medical instrumentation
Special Issues, Collections and Topics in MDPI journals
Interests: HPC; deep learning; machine learning；emotion recognition; virtual reality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The impact of the Internet of Things (IoT) continues to expand across diverse domains, with some of its most promising and transformative applications still in healthcare and wellbeing. Through ubiquitous and real-time monitoring, IoT technologies enable the development of powerful tools for diagnosis, health promotion, and personalized interventions.
In the third edition of this Special Issue, we aim to compile further contributions from this growing research community. While significant progress has been made, challenges persist, such as the secure and ethical management of personal data, the accuracy and robustness of biomedical signal acquisition, seamless integration with electronic health records, and ensuring device comfort and low power consumption in continuous monitoring contexts.
For this Special Issue, we welcome the submission of original research and review articles that explore cutting-edge developments in IoT-based health systems. The topics of interest include, but are not limited to, the following:
- Innovative IoT architectures, devices, and platforms promoting healthcare and wellbeing;
- Secure data transmission protocols and integration with electronic health infrastructures;
- Privacy-preserving approaches, including federated learning and edge computing;
- User experience and wearable design optimization;
- The application of AI, including explainable and generative models, in health monitoring and diagnostics;
- Context-aware and adaptive systems for real-time personalization;
- Emerging paradigms such as digital twins and smart environments in healthcare.
Dr. Francisco Luna-Perejón
Dr. Lourdes Miró Amarante
Prof. Dr. Francisco Gómez-Rodríguez
Dr. Javier Civit Masot
Dr. Luis Muñoz
Guest Editors
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Keywords
- IoT
- healthcare
- wellness care
- eHealth
- biomedical signals
- data privacy and security
- explainable and generative AI
- edge computing
- digital twins
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