Out of the Lab Employment of Neurophysiological Measures and Sustainability

Dear Colleagues,

This special issue encourages submission of original papers with topics ranging from neurophysiology to artificial intelligence and signal processing, highlighting the relevance of neuroscience-based applications in out of the lab setting, from clinical use to operational environments and everyday life applications. In the last decade, it has been widely demonstrated how techniques coming from the field of artificial intelligence (e.g. pattern recognition, machine learning, deep learning) could be efficiently applied to biosignals (EEG, ECG, etc.), in order to generate the so called “Neurometrics”, able to track, even online, specific human behaviours. It has been also proved the higher resolution of such measures, with respect to standard assessment techniques (e.g. questionnaires). The aim of this special issue is to outline state-of-the art regarding applications of neuroscience-based techniques, especially in real settings, highlighting in particular current issues and future trends. They are in particular encouraged those studies in which it is clearly demonstrated how such neuroscience-based techniques could be used to enhance human safety and health.

Dr. Pietro Aricò
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.

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. Sustainability 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 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.

• neurophysiological measures
• machine learning
• signal processing
• biosignals
• safety
• health