Sensors and Signal Processing Techniques for Non-invasive Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 100
Special Issue Editors
Interests: biomedical signal processing; electrophysiological monitoring; non-invasive patient monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing; electrophysiological monitoring; non-invasive patient monitoring
Interests: printed sensors; wearable sensors; electrochemical biosensors; electrophysiological monitoring
Interests: signal processing; deep learning; machine learning; automatic biomedical analysis
Special Issue Information
Dear Colleagues,
The rapid advancement in non-invasive biomedical diagnostics and monitoring holds the potential to transform healthcare by offering portable and unobtrusive devices that provide real-time, continuous monitoring of human physiological conditions. These innovations pave the way to early detection of diseases, facilitating timely, less invasive interventions, improving patient outcomes, and reducing hospitalization and associated costs.
Robust monitoring requires joint development of sensing technology and signal processing algorithms for extracting, analyzing, and interpreting complex biological signals, including‑but not limited to‑electrocardiograms, electroencephalograms, photoplethysmograms, and other physiological data.
This Special Issue aims to highlight cutting-edge research and encourage innovation in the field of non-invasive biomedical diagnostics and monitoring, by covering a wide spectrum of technological and methodological advances.
Topics of interest include, but are not limited to, the following:
- The development of novel sensor technologies;
- Advanced algorithms for signal denoising, feature extraction, and classification;
- Integration of machine learning models for diagnostic and monitoring applications;
- Strategies for minimizing power consumption;
- Algorithms for real-time processing in wearable and portable devices;
- Methods for ensuring signal integrity across diverse clinical and home environments;
Both original contributions and reviews focused on the latest achievements of scientific research and emerging techniques are welcome.
Dr. Elisabetta Peri
Dr. Alessandra Galli
Dr. Sarah Tonello
Dr. Ana Neacșu
Dr. Maria G. Signorini
Guest Editors
Manuscript Submission Information
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Keywords
- biomedical diagnostics
- biomedical signal processing
- non-invasive monitoring
- biosensors
- non-obtrusive devices
- machine learning for biomedical applications
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