Wearable Sensors for Physiological Signal Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 20 January 2027 | Viewed by 66
Editors
Interests: vital signal monitoring; wearable sensors; experimental and numerical modeling of the cardiovascular system
Special Issue Information
Dear Colleagues,
The global burden of non-communicable disease, an ageing population, and sustained pressure on hospital-based care have collectively accelerated interest in continuous physiological monitoring beyond traditional clinical settings. Wearable sensor platforms spanning photoplethysmographic, electrocardiographic, impedance-based, and electromyographic modalities now offer the prospect of longitudinal, unobtrusive data acquisition in ambulatory and community environments. The convergence of advances in microelectronics, wireless communication, and machine learning has substantially expanded both the range of measurable physiological parameters and the analytical depth with which resulting data streams may be interrogated. Yet the translation of this potential into validated clinical practice remains incomplete. Real-world deployment introduces persistent technical and methodological challenges
This Special Issue of Sensors aims to present and disseminate the most recent advances related to wearable physiological monitoring, spanning continuous cardiovascular and respiratory monitoring, chronic disease management, signal quality and data trustworthiness, and the clinical validation of AI-assisted interpretation. We consider contributions addressing original empirical research, validation studies, methodological frameworks, and critical reviews that advance the evidence base for wearable sensor deployment in real-world clinical and community contexts.
Potential topics include but are not limited to:
- Continuous Cardiovascular & Respiratory Monitoring Beyond the Hospital;
- Wearables in Chronic Disease Management: Evidence from the Field;
- Signal Quality, Artefact Rejection & Data Trustworthiness in Real-World Wearables;
- AI-Assisted Interpretation of Wearable Data: Clinical Validation Challenges.
Prof. Dr. Pascal Verdonck
Guest Editor
Dr. Guylian Stevens
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- wearable sensors
- physiological monitoring
- remote patient monitoring
- chronic disease management
- signal quality
- motion artefact rejection
- photoplethysmography
- artificial intelligence
- clinical validation
- ambulatory monitoring
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