Application of Neural Engineering in Sleep Research and Medicine

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 247

Special Issue Editors


E-Mail Website
Guest Editor
Scuola IMT Alti Studi Lucca, Lucca, Italy
Interests: processing and analysis of biomedical signals; brain imaging methodologies; EEG brain activity; computational/mathematical models; optimization algorithms

E-Mail Website
Guest Editor
Istituto di Fisiologia Clinica del CNR, Pisa, Italy
Interests: analysis of biomedical signals; artificial intelligence; neuroscience; connected health; psychophysiology; mathematical modeling; biostatistics

Special Issue Information

Dear Colleagues,

Sleep is essential for a multitude of biological processes including cognitive, immune, endocrine, metabolic, and cardiovascular functions. Uncovering the precise physiological mechanisms underlying these processes as well as their potential impairment under pathological conditions represents a fundamental step in the definition of novel risk factors, early diagnosis protocols, and strategies for maintaining, restoring, and improving our mental and physical health.

Studying and monitoring sleep requires the simultaneous acquisition of multiple bio-signals related to both the central and the peripheral nervous system. If this can limit the applicability in daily life conditions, it also implies a considerable effort in terms of signal preprocessing and advanced analysis. In the past, sleep medicine and research largely addressed this necessity using visual scoring, especially for sleep staging, and manual pattern identification.

Considering the latest achievements in the field of biomedical imaging, signal processing, and machine learning, this Special Issue aims to collect original research papers and comprehensive reviews focusing on the most recent applications and studies of neural engineering for sleep research and medicine. Topics of interest include, but are not limited to, the following:

  • Signal processing for sleep data analysis.
  • Machine learning based approaches for sleep data analysis and sleep staging.
  • Automated methods for sleep staging, event detections and pattern recognition.
  • Multimodal neuroimaging for sleep study.
  • Non-invasive systems for sleep monitoring in both clinical and daily life settings.
  • Techniques and technologies for influencing and manipulating sleep.

Dr. Monica Betta
Dr. Marco Laurino
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. Bioengineering 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 2700 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

  • sleep
  • signal processing
  • computational neuroscience
  • machine learning
  • artificial intelligence
  • PSG
  • EEG
  • neuroimaging
  • wearable systems

Published Papers

This special issue is now open for submission.
Back to TopTop