Artificial Intelligence for Biomedical Signal Processing, 2nd Edition

Dear Colleagues,

This Special Issue is the second edition of “Artificial Intelligence for Biomedical Signal Processing” (https://www.mdpi.com/journal/bioengineering/special_issues/B0U20906Z6).

Biomedical signals and images provide meaningful information about the status and function of a biological system. This fact, along with the rapid progress in the field of artificial intelligence (AI), has increased the development of AI-based applications that use this information to automatically diagnose diseases, create personalized medicine systems, and even remotely monitor patients' healthcare.

Therefore, this Special Issue aims to attract researchers with an interest in applying AI methods to different biomedical signals and images (such as electrocardiograms, electroencephalograms, magnetoencephalograms, electromyograms, galvanic skin responses, pulse oximetry, computed tomography scans, magnetic resonance imaging, etc.) to assist physicians in these tasks. Topics of interest include, but are not limited to, the following:

1. Applications of AI in biomedical engineering.
2. AI-based systems for automatic prognosis and diagnosis of diseases.
3. Biomedical signal and image analysis using machine learning and deep learning algorithms.
4. Explainable artificial intelligence in biomedicine.
5. Remote healthcare monitoring using AI-based systems.
6. Biomarkers extracted from biosignals and bioimages through AI techniques.
7. Physiological time series forecasting.

Original papers that describe new research on these subjects are welcomed. Your contributions will enhance the development of new biosignal processing methodologies with key implications for medicine and healthcare. We look forward to your participation in this Special Issue.

Dr. Verónica Barroso-García
Dr. Fernando Vaquerizo-Villar
Guest Editors

Manuscript Submission Information

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