Sensors for Human Health Monitoring Based on Biomedical Signals: From New Perception to Intelligent Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 10 September 2026 | Viewed by 38
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore innovative sensing technologies, methods, and approaches applied throughout the entire chain of human health and disease monitoring (including, but not limited to, physiological signal acquisition, pathological feature identification, disease risk warning, treatment response evaluation, and rehabilitation tracking). The core focus is on utilizing biomedical signals (such as electrophysiological, biochemical, mechanical, optical, acoustic, etc.) for non-invasive/minimally invasive, continuous, and dynamic monitoring, and exploring how advanced signal processing, data fusion, and artificial intelligence technologies can enhance the quality, interpretability, and ultimately the level of intelligent assistance in diagnosis of sensor data.
Potential topics include, but are not limited to, the following:
- New sensor design and materials: such as flexible/wearable/injectable/swallowable sensors, micro/nano sensors, biocompatible materials, multifunctional integrated sensors, etc.
- Innovative signal acquisition and enhancement methods: such as weak signal detection, anti-interference/noise reduction technology, multi-modal signal synchronous acquisition, non-contact sensing (like radar, optical), and novel biosensor detection, etc.
- Advanced signal processing and analysis algorithms：The application of artificial intelligence (deep learning, machine learning), big data analysis, feature extraction and selection, pattern recognition, and personalized modeling in the analysis of biomedical signals.
- Intelligent diagnosis and decision support：Such as disease early warning models based on sensor data, auxiliary diagnostic algorithms, treatment efficacy evaluation models, and personalized health management plan generation.
- System integration and clinical application validation: The development of wearable/portable/home monitoring systems, integration of sensors-edge computing-cloud platforms, solutions tailored for specific diseases (cardiovascular, neurodegenerative, metabolic, mental health, etc.), and their preclinical/clinical validation.
Prof. Dr. Zhong Ji
Guest Editor
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Keywords
- biomedical signals
- health monitoring
- sensors
- wearable devices
- flexible electronics
- signal processing
- artificial intelligence
- intelligent diagnosis
- non-invasive monitoring
- physiological parameters monitoring
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