;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px”> Deadline for manuscript submissions: 30 September 2020.
Special Issue Information
Research in biomedical signal processing in combination with powerful machine learning algorithms has enabled the development of methodologies for the prediction, diagnosis, and monitoring of diseases and patients which serve as supportive tools for the (semi-)automatic management of healthcare services. In this SI we invite research papers presenting novel methodologies in biomedical signal processing, including but not limited to EEG, ECG, EMG, other wearable sensors, medical images and their combinations, as well as their application in the prediction, diagnosis and/or monitoring of diseases.
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 papers will be 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. Signals is an international peer-reviewed open access quarterly 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 1000 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; ECG; EMG; prediction; diagnosis; healthcare monitoring
Guest Editor
Dr Iosif Mporas, Dipl-Eng, PhD
Senior Lecturer in Information Engineering
School of Engineering and Computer Science
University of Hertfordshire
College Lane Campus
Hatfield AL10 9AB, UK