Integrating EEG and Multimodal Biomedical Sensors Data Analysis with Machine Learning
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 25 June 2024 | Viewed by 157
Special Issue Editors
Interests: brain imaging techniques (e.g., fNIRS, EEG); cognitive neuroscience study; imaging assisted clinical study; biomedical signal processing; machine/deep learning; large language model
Special Issues, Collections and Topics in MDPI journals
Interests: functional near-infrared spectroscopy (fNIRS) data processing; statistical analysis for fNIRS signal; multi-modal neuroimaging; brain-computer interface (BCI) applications
Special Issues, Collections and Topics in MDPI journals
Interests: autism spectrum disorders; medical imaging; fMRI; radiology; deep learning; machine learning; cognitive neuroscience; Python (programming Language); MATLAB; congenital heart disease; computer science; data analysis; neuroscience; medical research; neuroimaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are delighted to announce a Special Issue in MDPI Sensors that is dedicated to the exploration of cutting-edge research and advancements in integrated EEG data analysis with machine learning and multimodal biomedical signal fusion. This Special Issue will bring together leading scholars, researchers, and experts from around the world to contribute their original and innovative work in this field. We invite submissions that address pivotal issues, share new insights, and offer fresh perspectives within the realms of EEG data analysis (with state-of-the art machine/deep learning techniques), the joint analysis of EEG and other neuroimaging modalities, or biomedical sensor signals. This Special Issue is an exceptional opportunity for researchers to showcase their work and engage in a scholarly exchange that can shape the future of this field. We look forward to receiving your contributions and promise a rigorous peer review process to ensure the highest quality of the published articles.
Dr. Xiaosu (Frank) Hu
Dr. Hendrik Santosa
Dr. Dalin Yang
Guest Editors
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. Sensors 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 2600 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
- EEG
- machine learning
- biomedical sensors
- multimodal neuroimaging
