Monitoring of Human Physiological Signals—2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: closed (20 February 2026) | Viewed by 684
Special Issue Editor
Interests: bio-signal processing (EEC, ECG, EMG, and EOG); pattern recognition; human–robot interaction; robotic mood transition; pain expression; sports medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Health systems and their applications utilizing human physiological signals have a significant scope of application. Physiological signals are utilized to enhance the performance of health monitoring and diagnosis systems by integrating complex health data, such as electromyogram, electrocardiogram, electroencephalogram, and pulse. In addition, methods for processing multiple physiological signals are evolving into various complex and intelligent methods, such as deep learning and machine learning methods, which enable a smart health management system based on AI.
Dr. Miran Lee
Guest Editor
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Keywords
- healthcare
- health management
- Internet of Things healthcare
- sensor fusion in biomedical imaging
- remote sensing in healthcare
- diagnostics
- health monitoring
- biosignal processing
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Related Special Issue
- Monitoring of Human Physiological Signals in Applied Sciences (10 articles)
