Ubiquitous Computing and Applications in Digital Healthcare Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 80
Special Issue Editors
Interests: human activity recognition; sensing, deep learning, ubiquitous computing, and their applications in digital healthcare systems, cyber-physical systems, and next-generation AIoT systems; image processing
Interests: ambient intelligence; ubiquitous computing; gait analysis; health monitoring
Interests: AIoT; mobile health; acoustic sensing; mobile computing
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Special Issue Information
Dear Colleagues,
The rapid integration of ubiquitous computing into healthcare systems has revolutionized the way in which health services are delivered, monitored, and managed. Technologies such as mobile and wearable devices, IoT-enabled systems, and ambient intelligence provide innovative solutions for real-time health monitoring, adaptive diagnostics, and personalized care. These advancements enhance patient outcomes, increase accessibility, and empower individuals to take an active role in their health management.
This Special Issue, titled “Ubiquitous Computing and Applications in Digital Healthcare Systems”, seeks to showcase cutting-edge research that leverages ubiquitous computing technologies to transform digital healthcare systems. By addressing critical challenges in healthcare delivery and management, this Issue aligns with the journal's aim to advance interdisciplinary collaboration between computer science, engineering, and healthcare research.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Mobile and wearable sensing technologies for health monitoring;
- Real-time and adaptive systems for digital health diagnostics;
- Intelligent algorithms for personalized healthcare analytics;
- Ambient intelligence systems for healthcare;
- Privacy-preserving methods for health data collection, analysis, and management;
- IoT-enabled platforms for remote health monitoring;
- Large Language Models (LLMs) for digital and mobile healthcare applications;
- Multimodal data fusion for physiological and behavioural insights;
- Human–computer interaction in digital healthcare systems;
- Emerging wearable materials and technologies;
- Long-term studies of ubiquitous healthcare systems in real-world scenarios;
- Ethical deployments of ubiquitous computing systems in historically underserved communities;
- Investigation of new methodologies for intervention (e.g., conversational agents, AR/VR applications).
We look forward to receiving contributions that push the boundaries of ubiquitous computing and digital healthcare systems.
Dr. Sijie Ji
Dr. Yiwen Dong
Dr. Qiang Yang
Dr. Linshan Jiang
Guest Editors
Manuscript Submission Information
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Keywords
- ubiquitous computing
- digital healthcare systems
- mobile health (mHealth)
- wearable technology
- ambient intelligence
- internet of things (IoT) in healthcare
- personalized healthcare analytics
- real-time health monitoring
- privacy-preserving healthcare systems
- large language models (LLMs) in healthcare
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