Theory and Application of Biomedical Signal Processing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 1112
Special Issue Editor
Special Issue Information
Dear Colleagues,
Biomedical signal processing aims to extract useful information and insights from the vast amount of data generated by medical devices and systems with the goal of improving diagnosis, treatment, and patient care.
In recent years, advances in the Internet of Things (IoT), artificial intelligence (AI), and, particularly, deep learning have generated numerous opportunities for the development of new techniques and applications in this field. The availability of large datasets has also opened up the possibility of complex analysis using machine learning and other advanced techniques.
Possible applications of biomedical signal processing include the development of computer-assisted diagnosis solutions, such as tools analyzing electrocardiography (ECG) to diagnose cardiovascular conditions and electroencephalography (EEG) to diagnose neurological disorders. In biomedical engineering, signal processing techniques are used in the design and development of medical devices and technologies, such as pacemakers, prosthetics, and imaging systems. In physical therapy and rehabilitation, sensors and wearable devices can be used to monitor and track patient movements, with algorithms analyzing and interpreting the data to provide feedback and guidance to the therapist.
Authors are invited to submit original manuscripts on topics including, but not limited to, the following:
- New applications of signal processing in healthcare;
- Signal acquisition;
- Signal visualization and annotation;
- Artifact removal and preprocessing;
- Feature extraction;
- Statistical analysis, machine learning, and deep learning for biomedical signals;
- Development of computer-assisted diagnosis tools.
Overall, this Special Issue highlights the important role that signal processing plays in the analysis and understanding of biomedical signals, and provides a wealth of information and insights for researchers and practitioners working in this field.
Dr. Samuel Boudet
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.
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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.
Keywords
- digital health and Internet of Things (IoT)
- biomedical sensors and signal acquisition
- signal preprocessing and artifact removal
- feature extraction
- statistical analysis
- machine learning and deep learning
- computer-assisted diagnosis
