Advances in Vital Signal Sensing and Processing Technologies for Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 12
Special Issue Editor
Interests: brain-computer interface; virtual reality; multi-modal information fusion (neuromuscular electrical/inertial sensing/body sensor networks); core personalized precise assessment; adaptive closed-loop training; human-machine intelligent interaction; motor function remodeling; digital therapeutics; rehabilitation robotics
Special Issue Information
Dear Colleagues,
With the advancement of wearable sensor technology and intelligent signal processing methods, vital sign monitoring is entering an era of greater precision, continuity, and intelligence. In recent years, innovations in high-performance sensors and advanced signal processing algorithms have enabled real-time, non-invasive, and continuous monitoring of key indicators such as blood pressure, respiration, electromyographic (EMG) activity, and blood oxygen saturation. These technologies have transformed healthcare management from traditional passive treatment to an active, personalized, and preventive care model.
This Special Issue aims to showcase cutting-edge research and innovative applications in the field of vital sign sensing and signal processing, with a focus on solutions that enable accurate health status assessments, early disease warning, and remote monitoring. We welcome original research articles, reviews, and application cases covering sensor design, continuous blood pressure monitoring, EMG signal processing, multimodal data fusion, intelligent algorithm analysis, and system integration—especially technical achievements that can be implemented in clinical practice, rehabilitation training, and daily health management.
Topics of interest include but are not limited to novel vital sign sensors, continuous blood pressure monitoring technologies, EMG signal processing and analysis algorithms, signal denoising and feature extraction algorithms, practical deployment of wearable devices, clinical applications in chronic disease management, cardiovascular monitoring, neuromuscular disease assessments, and rehabilitation.
Prof. Dr. Guo Dan
Guest Editor
Manuscript Submission Information
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Keywords
- vital sign sensors
- continuous blood pressure monitoring
- electromyographic (EMG) signal processing
- physiological signal monitoring
- health monitoring systems
- multimodal physiological data
- digital health innovation
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