Biomedical Signal Processing
This special issue belongs to the section "Biomedical Sensors".
Special Issue Information
Dear Colleagues,
Currently, biomedical sensors provide vast amounts of electric and nonelectric biomedical signals, enabling the study of human body health and the early diagnosis of a number of diseases. In addition, recent advances and developments in the Internet of Things (IoT) have generated extensive opportunities and challenges in the health care field that require the development of effective signal processing technologies for medical IoT devices. This Special Issue aims to create a sharing opportunity between experts on biomedical sensors and signal processing practicioners that apply such technology within the biomedical field. Topics of interest include signal processing methods, machine learning methods, and applications that rely on such technologies, with emphasis on but not only including diagnostics, guiding therapy, patient monitoring, disease prevention, and risk assessment in a clinical setting. Original papers that describe new research or innovative biomedical signal processing application are welcome. We look forward to your participation in this Special Issue.
Prof. Dr. Javier Ramírez
Prof. Dr. Juan M. Górriz Sáez
Prof. Dr. Andrés Ortiz García
Guest Editors
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Keywords
- biomedical signals analysis
- Bioelectrical signal (EEG, ECG, …) processing
- biomagnetic signal (MEG) processing
- inertial sensor signal processing
- statistical signal processing
- medical imaging
- machine learning including deep learning
- signal processing in medical IOT devices
- clinical applications: diagnostic, guiding therapy, patient monitoring, disease prevention, and risk assessment
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Published Papers
Sensors - ISSN 1424-8220