Pattern Recognition and Artificial Intelligence in Biomedical Signal Processing

Dear Colleagues,

Biomedical signal processing is an interdisciplinary field concerned with the extraction of useful information from the biomedical data. Current clinical medicine and healthcare systems are working with various sophisticated devices, such as physiological, biological measurement and medical imaging. A great deal of data are generated from clinical and healthcare systems. Research on biomedical signal processing methods is fundamental for extracting effective information from raw data.

In this context, biomedical signal-processing algorithms with better robustness and effectiveness have become necessary to improving the reliability of health services. In recent years, pattern recognition and artificial intelligence have shown their distinct potential for leading significant progress in the field. Pattern recognition is a class of method for handling biomedical signals that emerged in last decade; it aims to recognize familiar patterns from varied biomedical signals. Compared with traditional methods for pattern recognition, artificial intelligence algorithms enable automatic feature extraction and representation learning, and massive quantities of data are used to improve the performance of these algorithms.

The aim of this Special Issue is to bring together researchers in this area to advance the development of cutting-edge applications of pattern recognition and/or artificial intelligence in biomedical signal processing.

This Special Issue will publish high-quality, original research papers in the following overlapping fields.

Pattern Recognition and Artificial Intelligence in:

• Cardiovascular signals;
• Neurological signals;
• Physiological processes;
• Medical images;
• Biomedical signal modeling;
• Motion control;
• Audio and acoustic signal processing;
• E-healthcare;
• Biomedical signals from wearable sensors and systems;
• Epidemiological data;
• Infection information.

Dr. Yong Hu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.