Sensors and Biomedical Signal Processing for Patient Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: closed (20 April 2022) | Viewed by 54182
Special Issue Editors
Interests: biomedical signal processing; sensors; image processing
Interests: analysis of biological systems; bioengineering; e-health
Interests: biomedical signal processing; pattern recognition; wearable sensors
Special Issues, Collections and Topics in MDPI journals
Interests: brain computer interface; artificial intelligence for medical diagnosis; biomedical signal and image processing; fetal monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: medical monitoring system; patient health monitoring; neonatal monitoring; brain activity monitoring; smart sleep; smart rehabilitation system; wireless body area networks Photo:
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical signal processing; electrophysiological monitoring; non-invasive patient monitoring
Interests: wearable sensors and systems for human health and performance; physiological, cognitive, and medical monitoring; biosignal and image processing; machine learning
Interests: biomedical signal analysis; blind source separation; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Healthcare deployment will increasingly take advantage of unobtrusive sensing, supported by (ultra)low-power technology, wireless communication, signal processing, and machine learning to expand in the direction of extramural patient montoring. New sensing solutions are emerging that provide unprecedented possibilities for timely detection of diseases, leading to less invasive intervention and improved patient outcome, paralleled by reduced hospitalization and associated costs. Extramural and especially ambulatory monitoring are hampered by the presence of artifacts and interferences in the recorded signals, which are dominant in everyday-life scenarios. Robust monitoring requires joint development of sensing technology and signal processing algorithms to extract the relevant diagnostic information, also exploting multimodal and/or multichannel recording for accurate signal interpretation.
The present Special Issue will address technological and methodological advances in the field of patient monitoring. It welcomes original contributions that focus on novel sensor technologies and digital signal processing that can foster extramural and ambulatory patient monitoring. Reviews focused on the latest achievements of scientific research and emerging techniques are also welcome.
Prof. Dr. Massimo Mischi
Prof. Luca Mainardi
Prof. Dr. Edward Sazonov
Prof. G. Mihaela Neagu
Prof. Dr. Wei Chen
Dr. Elisabetta Peri
Prof. Brian Telfer
Prof. Dr. Bart Vanrumste
Guest Editors
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Keywords
- patient monitoring
- biomedical signal processing
- multimodal sensing
- unobtrusive sensing
- ambulatory monitoring
- m-health
- blockchain for medical applications
- wearable sensors
- artifact removal
- denoising
- multichannel signal processing
- compressed sensing
- blind source separation
- machine learning
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