Wearable Medical Sensors and AI-Driven Signal Processing for Next-Generation Healthcare
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 12
Special Issue Editor
Interests: wearable biosensors; biosignal processing; pattern recognition; multimodal electrophysiological data fusion; AI-based health informatics; medical decision-making system; biomedical applications; smart medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of wearable medical sensors with artificial intelligence (AI)-driven signal processing technologies is revolutionizing next-generation healthcare. Recent advances in flexible electronics, biosensors, and edge computing have enabled real-time, continuous, and non-invasive monitoring of diverse physiological parameters. These innovations are transforming traditional healthcare models from reactive treatment to proactive, personalized, and preventive care.
This Special Issue aims to showcase cutting-edge research and developments in wearable sensing technologies and intelligent signal processing algorithms that facilitate accurate health status assessment, early disease detection, and remote patient monitoring. We welcome original research articles, reviews, and case studies that address key challenges in sensor design, multimodal data acquisition, AI-based interpretation, and system-level integration in clinical or daily life scenarios.
Topics of interest include, but are not limited to, novel wearable biosensors, AI algorithms for physiological signal analysis, edge/cloud health monitoring systems, real-world deployment of wearable devices, and their clinical applications in chronic disease management, mental health assessment, rehabilitation, and more.
We invite contributions from researchers, clinicians, and engineers working at the intersection of biomedical sensing, signal processing, machine learning, and digital health.
Dr. Wanqing Wu
Guest Editor
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Keywords
- smart biosensors
- physiological monitoring
- health informatics
- edge computing in healthcare
- multimodal biomedical data
- digital health technologies
- chronic disease management
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