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Wearable Brain Monitoring Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 357

Special Issue Editors


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Guest Editor
Department of Biologic and Materials Sciences & Prosthodontics, University of Michigan, Ann Arbor, MI 48109, USA
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

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Guest Editor
Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA
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

Special Issue Information

Dear Colleagues,

Studying brain mechanisms nowadays is easier than before, thanks to the development of wearable brain-monitoring technologies. The wearable brain-monitoring systems advance in portability, safety, low-noise level, and low-power consumption. These systems provide flexibility for researchers in the lab and in the real world. However, the sizes of the device are still relatively large, thus limiting the experiment time length and everyday use, as the experiment will interrupt a natural moment to intervene in an artificial setting. Furthermore, the algorithms for data interpretation have not reached a standard for the current existing technologies, such as fNIRS, EEG, or an integration of the two.

In this Special Issue, we invite papers on both new hardware development and signal processing innovation. The purpose of the Special Issue is to collect contributions to wearable brain-monitoring system development, i.e., those that are smaller in size, lower in power consumption, and easier in data interpretation. Critical reviews and surveys of the cutting-edge practice are also encouraged.

Dr. Xiaosu (Frank) Hu
Dr. Hendrik Santosa
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

  • brain imaging techniques (e.g., fNIRS, EEG, fMRI)
  • cognitive neuroscience study
  • imaging assisted clinical study
  • biomedical signal processing
  • biomedical engineering
  • wearable brain monitoring

Published Papers

There is no accepted submissions to this special issue at this moment.
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