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Bioengineering
Special Issues
Neuroimaging Techniques for Wearable Devices in Bioengineering
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Neuroimaging Techniques for Wearable Devices in Bioengineering

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 810

Special Issue Editors

Dr. Luis Coelho

E-Mail Website
Guest Editor
ISEP-School of Engineering, Polytechnic of Porto, Porto, Portugal
Interests: physiological signal processing; image processing; machine learning; neurodegenerative diseases; virtual reality
Special Issues, Collections and Topics in MDPI journals
Dr. Dorota Kamińska

E-Mail Website
Co-Guest Editor
Institute of Mechatronics and Information Systems, Lodz University of Technology, 90-924 Lodz, Poland
Interests: human behavior analysis; affective computing; universal design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are delighted to announce a Special Issue dedicated to a rapidly evolving field of bioengineering related to neuroimaging techniques for wearable devices. The integration of neuroimaging with wearable technology has the potential to revolutionize brain monitoring, cognitive assessment, and real-world applications. This Special Issue aims to bring together researchers, engineers, and practitioners in bioengineering to share their latest findings, methodologies, and technologies in the exciting domains of neuroimaging for wearable devices.

We invite authors to submit their original research, review articles, and methodological papers related to, but not limited to, the following topics:

  • Wearable EEG Devices:
    1. Advances in wearable EEG technology and their applications;
    2. Real-time brain monitoring in daily life;
    3. Brain–computer interfaces (BCIs) and neurofeedback using wearable EEG;
    4. Clinical and neurorehabilitation applications of wearable EEG devices.
  • Wearable fNIRS Systems:
    1. Developments in portable fNIRS technology for wearable applications;
    2. Cognitive and emotional monitoring in real-world settings;
    3. Clinical use of wearable fNIRS in neurology, psychiatry, and neonatal care;
    4. Wearable fNIRS for enhancing human-computer interaction and neuroergonomics.
  • Wearable Multimodal Neuroimaging:
    1. Integration of EEG, fNIRS, or other neuroimaging modalities into wearable devices;
    2. Applications in neurofeedback, augmented reality, and cognitive load assessment;
    3. Innovations in wearable multimodal neuroimaging for a wide range of scenarios.
  • Signal Processing and Data Analysis for Wearable Neuroimaging:
    1. Methods for artifact correction and data analysis in wearable neuroimaging;
    2. Machine learning and data analytics for extracting meaningful insights from wearable neuroimaging data;
    3. Real-time and cloud-based data processing for continuous monitoring.

Dr. Luis Coelho
Dr. Dorota Kamińska
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

  • neuroimaging
  • wearable devices
  • brain monitoring
  • portable neuroimaging
  • EEG (electroencephalography)
  • fNIRS (functional near-infrared spectroscopy)
  • brain–computer interfaces (BCIs)
  • cognitive assessment
  • real-time neuroimaging
  • mobile brain monitoring
  • clinical applications
  • neurofeedback
  • multimodal neuroimaging
  • cognitive load assessment
  • signal processing
  • data analysis
  • wearable EEG
  • wearable fNIRS
  • continuous monitoring
  • human–computer interaction
  • neuroergonomics
  • artifact correction
  • machine learning
  • cloud-based data processing
  • brain health monitoring
  • digital health
  • mobile neuroscience
  • brain research technology
  • personalized medicine
  • neuromodulation

Published Papers (1 paper)

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Research

11 pages, 1891 KiB  
Article
Application of the Single Source—Detector Separation Algorithm in Wearable Neuroimaging Devices: A Step toward Miniaturized Biosensor for Hypoxia Detection
by Thien Nguyen, Soongho Park, Jinho Park, Asma Sodager, Tony George and Amir Gandjbakhche
Bioengineering 2024, 11(4), 385; https://doi.org/10.3390/bioengineering11040385 - 16 Apr 2024
Viewed by 584
Abstract
Most currently available wearable devices to noninvasively detect hypoxia use the spatially resolved spectroscopy (SRS) method to calculate cerebral tissue oxygen saturation (StO2). This study applies the single source—detector separation (SSDS) algorithm to calculate StO2. Near-infrared spectroscopy (NIRS) data [...] Read more.
Most currently available wearable devices to noninvasively detect hypoxia use the spatially resolved spectroscopy (SRS) method to calculate cerebral tissue oxygen saturation (StO2). This study applies the single source—detector separation (SSDS) algorithm to calculate StO2. Near-infrared spectroscopy (NIRS) data were collected from 26 healthy adult volunteers during a breath-holding task using a wearable NIRS device, which included two source—detector separations (SDSs). These data were used to derive oxyhemoglobin (HbO) change and StO2. In the group analysis, both HbO change and StO2 exhibited significant change during a breath-holding task. Specifically, they initially decreased to minimums at around 10 s and then steadily increased to maximums, which were significantly greater than baseline levels, at 25–30 s (p-HbO < 0.001 and p-StO2 < 0.05). However, at an individual level, the SRS method failed to detect changes in cerebral StO2 in response to a short breath-holding task. Furthermore, the SSDS algorithm is more robust than the SRS method in quantifying change in cerebral StO2 in response to a breath-holding task. In conclusion, these findings have demonstrated the potential use of the SSDS algorithm in developing a miniaturized wearable biosensor to monitor cerebral StO2 and detect cerebral hypoxia. Full article
(This article belongs to the Special Issue Neuroimaging Techniques for Wearable Devices in Bioengineering)
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