AI on Biomedical Signal Sensing and Processing for Health Monitoring—2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 37
Special Issue Editor
Interests: speech recognition; biomedical signal processing; intelligent computation; digital signal processing; control systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the first edition of our Special Issue entitled “AI on Biomedical Signal Sensing and Processing for Health Monitoring”, we again invite our colleagues from across the world to contribute their expertise, insight, and findings in the form of original research articles and reviews for the current new Special Issue, entitled “AI on Biomedical Signal Sensing and Processing for Health Monitoring—2nd Edition”.
Due to the significant progress in hardware and software development of information technologies in recent years, artificial intelligent (AI) technologies have become more powerful and feasible than before. As a result, it is promising to explore the topic of AI methods implemented for practical applications in biomedical signal sensing and processing. This Special Issue aims to bring together researchers in this area to break down barriers and develop innovative realizable AI biomedical signal processing systems. The developed systems can then predict the health conditions for users more precisely in the applications of health motoring. This Special Issue will hence focus on emerging AI technologies for biomedical signal processing applications, including the measurement and analysis of biomedical signals and images in clinical medicine. Original research and review articles are both welcome.
Potential topics include, but are not limited to, the following:
- AI on biomedical signal processing for sleep status detection;
- AI on biomedical signal processing for emotion recognition;
- Detection of arrhythmia based on biomedical signals by using AI technologies;
- AI on biomedical signal processing for brain diseases;
- Feature extraction and pattern recognition of biomedical signals;
- Applications of biomedical signals on health monitoring by using non-invasion devices;
- AI on biomedical signal processing for communication disorders detection;
- Biomedical signal-inspired non-invasion devices design for sensing and monitoring.
Prof. Dr. Shing-Tai Pan
Guest Editor
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Keywords
- artificial intelligence (AI)
- biomedical signal processing
- biomedical signal sensing
- disease diagnosis
- human health monitoring
- non-invasion device
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