Machine Learning and Signal Processing for EEG
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 4
Special Issue Editor
Special Issue Information
Dear Colleagues,
Understanding brain activity is a challenge due to its high structural and functional complexity as well as high inter- and intra-subject variability. One of the most promising approaches to perceiving and studying it is through the spatio-temporal domain using electroencephalogram (EEG) and machine learning (ML) techniques.
The increasing use of brain–computer interfaces (BCIs), clinical uses, and research needs require an increasing capacity to process EEG signals and adopt ML and deep learning (DL) techniques suitable for practical applications. EEG signal processing and analysis can be conveniently exploited to detect abnormalities in disease states and improve early diagnosis of brain diseases. Signal processing and ML techniques applied to EEG data address problems such as noise, artifacts, volumetric conduction, brain connectivity, limited spatial resolution, and high temporal resolution.
This Special Issue aims to collect papers that provide original contributions to the field of EEG signal processing and present recent research on brain activity sensing, analysis, and the application of artificial intelligence to EEG data, including, but not limited to, the following: feature-based ML approaches, artificial neural network architectures, statistical approaches in modeling, applications of graph theory, clinical diagnostics, emotion recognition, attention recognition, brain activity classification, brain–computer interfaces (BCI), artifact removal, and brain connectivity analysis.
Dr. Vito De Feo
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at mdpi.longhoe.net 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. Algorithms is an international peer-reviewed open access monthly 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 1600 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
- machine learning
- signal processing
- EEG
- artificial neural network architectures
- clinical diagnostics
- emotion recognition
- brain–computer interfaces
