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Biosensors
Special Issues
Optical Biosensing and Bioimaging
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Optical Biosensing and Bioimaging

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".

Deadline for manuscript submissions: closed (16 December 2022) | Viewed by 2915

Special Issue Editor

Prof. Dr. Zhen Yuan

E-Mail Website
Guest Editor
Faculty of Health Sciences Building, University of Macau, E12 Avenida da Universidade, Taipa, Macau, China
Interests: neurosciences and neuroimaging; biomedical optics; optical molecular imaging

Special Issue Information

Dear Colleagues,

Over the last two decades, optical biosensing and bioimaging technologies have been investigated for their ability in biomedical biosensing area, making their applications in medical diagnostics and therapies a rapidly expanding field.

This Special Issue on "Optical Biosensing and Bioimaging" aims to bring together novel optical biosensing and bioimaging technologies, as well as optical detection approaches for medical diagnostic and therapeutic purposes. We also invite researchers to show how unique optical biosensor applications in biomedical might help with treatment alternatives.

We cordially encourage you to submit research articles and reviews for this Special Issue to share your work, knowledge, insights, and recent accomplishments with the biosensor research community.

Prof. Dr. Zhen Yuan
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. Biosensors 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

  • optical imaging sensors
  • photonic sensors
  • biophotonics
  • biomedical sensors
  • optoelectronic sensors
  • optical molecular imaging
  • neuroimaging and neurosensing

Published Papers (1 paper)

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Research

13 pages, 1735 KiB  
Article
Estimation of Respiratory Rate from Functional Near-Infrared Spectroscopy (fNIRS): A New Perspective on Respiratory Interference
by Naser Hakimi, Mohammad Shahbakhti, Sofia Sappia, Jörn M. Horschig, Mathijs Bronkhorst, Marianne Floor-Westerdijk, Gaetano Valenza, Jeroen Dudink and Willy N. J. M. Colier
Biosensors 2022, 12(12), 1170; https://doi.org/10.3390/bios12121170 - 14 Dec 2022
Cited by 5 | Viewed by 2538
Abstract
Objective: Respiration is recognized as a systematic physiological interference in functional near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is possible to estimate the respiratory rate (RR) from such interference. Undoubtedly, RR estimation from fNIRS can provide complementary information that [...] Read more.
Objective: Respiration is recognized as a systematic physiological interference in functional near-infrared spectroscopy (fNIRS). However, it remains unanswered as to whether it is possible to estimate the respiratory rate (RR) from such interference. Undoubtedly, RR estimation from fNIRS can provide complementary information that can be used alongside the cerebral activity analysis, e.g., sport studies. Thus, the objective of this paper is to propose a method for RR estimation from fNIRS. Our primary presumption is that changes in the baseline wander of oxygenated hemoglobin concentration (O2Hb) signal are related to RR. Methods: fNIRS and respiratory signals were concurrently collected from subjects during controlled breathing tasks at a constant rate from 0.1 Hz to 0.4 Hz. Firstly, the signal quality index algorithm is employed to select the best O2Hb signal, and then a band-pass filter with cut-off frequencies from 0.05 to 2 Hz is used to remove very low- and high-frequency artifacts. Secondly, troughs of the filtered O2Hb signal are localized for synthesizing the baseline wander (S1) using cubic spline interpolation. Finally, the fast Fourier transform of the S1 signal is computed, and its dominant frequency is considered as RR. In this paper, two different datasets were employed, where the first one was used for the parameter adjustment of the proposed method, and the second one was solely used for testing. Results: The low mean absolute error between the reference and estimated RRs for the first and second datasets (2.6 and 1.3 breaths per minute, respectively) indicates the feasibility of the proposed method for RR estimation from fNIRS. Significance: This paper provides a novel view on the respiration interference as a source of complementary information in fNIRS. Full article
(This article belongs to the Special Issue Optical Biosensing and Bioimaging)
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