5/30/2023 0 Comments Mps pediatricsSubmitted papers should be well formatted and use good English. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Please visit the Instructions for Authors page before submitting a manuscript. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. All manuscripts are thoroughly refereed through a single-blind peer-review process. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Research articles, review articles as well as short communications are invited. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. All submissions that pass pre-check are peer-reviewed. Manuscripts can be submitted until the deadline. Once you are registered, click here to go to the submission form. Manuscripts should be submitted online at by registering and logging in to this website. Data analytics and mining for clinical decision support.AI-based clinical decision making in healthcare.Knowledge engineering for feature interpretation.Machine learning for biomedical feature extraction and selection.AI-based biomedical signal preprocessing.Intelligent sensors, devices and instruments for biomedical signal acquisition.Main topics include, but are not limited to: Thus, this Special Issue aims to collect original research papers and/or reviews on AI-based methods for biomedical signal processing. These solutions may be essential in all fields of healthcare, including cardiology, neurology, endocrinology, movement analysis, physical activity monitoring, assistive robotics, telemedicine, and others. AI-based methods may find solutions to biomedical signal processing challenges by integrating sensors and acquisition systems, as well as preprocessing, characterizing, classifying, and interpreting biomedical signals. Typically used as statistical methods, these AI-based innovative tools are also promising in the other steps of the biomedical signal processing blockchain, including biomedical signal (i) acquisition, (ii) preprocessing, (iii) feature engineering and (iv) classification/interpretation. Artificial intelligence (AI) is spreading, and now influences all fields of healthcare.
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