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Application of Wearable and Nearable Gas Sensors for Health and...
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Application of Wearable and Nearable Gas Sensors for Health and Human Environment Monitoring

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 7430

Special Issue Editors

Dr. Pierre Grangeat

E-Mail Website
Guest Editor
Univ. Grenoble Alpes, CEA, LETI, MINATEC Campus, Micro-technologies for Biology and Healthcare Division, F-38054 Grenoble, France
Interests: wearable medical devices for breath and blood gas analysis; signal processing; inverse problems; signal and device models; inverse problem; biomarker and experimental data analysis
Dr. Pascal Mailley

E-Mail Website
Guest Editor
Micro-technologies for Biology and Healthcare Division, CEA, LETI, MINATEC Campus, University Grenoble Alpes, F-38054 Grenoble, France
Interests: materials; electrochemistry; biosensors; boron doped diamond; biochip; nanomaterials; electroanalysis; bioelectrochemistry

Special Issue Information

Dear Colleagues,

Gas exchange is an important process in living organisms. Besides oxygen and carbon dioxide, several molecules are inhaled or exhaled by the human body. Thus, the application of gas sensors is of major interest for health monitoring. Gases can be studied through several pathways involving gas exchange, such as the mouth, nose, lungs, stomach, and skin. Diseases such as respiratory, renal or heart failure, diabetes, obesity, cancer, alcohol abuse, anosmia or oxidative stress have a signature in the profiling of gas exchange. These measurements can be performed directly on the individual, using portable devices such as masks, wristbands, or clothing, or in their immediate environment, such as coveralls, incubators for newborns, rooms for sleeping, work, or living, or confined closed spaces. The control of the exchanged air is obligatory for the monitoring of respiration. In this Special Issue, we propose to focus on detection technologies, devices, and signal processing for the dynamic measurement of gas molecules, to monitor patients over time in order to control the disease. Combining high sensitivity with high temporal resolution, measuring traces in real time, and multiplexing several gaseous biomarkers are complex technological challenges. Innovations in sensor technologies, medical device concepts, signal processing, dynamic models, and experimental validations are expected.

Dr. Pierre Grangeat
Dr. Pascal Mailley
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

  • volatilome
  • exposome
  • metabolome
  • wearable
  • nearable
  • health monitoring device
  • gas sensor
  • dynamic modeling
  • time-varying signal processing
  • statistical analysis

Published Papers (2 papers)

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Research

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34 pages, 32508 KiB  
Article
Dynamic Modeling of Carbon Dioxide Transport through the Skin Using a Capnometry Wristband
by Pierre Grangeat, Maria-Paula Duval Comsa, Anne Koenig and Ronald Phlypo
Sensors 2023, 23(13), 6096; https://0-doi-org.brum.beds.ac.uk/10.3390/s23136096 - 02 Jul 2023
Cited by 1 | Viewed by 1209
Abstract
The development of a capnometry wristband is of great interest for monitoring patients at home. We consider a new architecture in which a non-dispersive infrared (NDIR) optical measurement is located close to the skin surface and is combined with an open chamber principle [...] Read more.
The development of a capnometry wristband is of great interest for monitoring patients at home. We consider a new architecture in which a non-dispersive infrared (NDIR) optical measurement is located close to the skin surface and is combined with an open chamber principle with a continuous circulation of air flow in the collection cell. We propose a model for the temporal dynamics of the carbon dioxide exchange between the blood and the gas channel inside the device. The transport of carbon dioxide is modeled by convection–diffusion equations. We consider four compartments: blood, skin, the measurement cell and the collection cell. We introduce the state-space equations and the associated transition matrix associated with a Markovian model. We define an augmented system by combining a first-order autoregressive model describing the supply of carbon dioxide concentration in the blood compartment and its inertial resistance to change. We propose to use a Kalman filter to estimate the carbon dioxide concentration in the blood vessels recursively over time and thus monitor arterial carbon dioxide blood pressure in real time. Four performance factors with respect to the dynamic quantification of the CO2 blood concentration are considered, and a simulation is carried out based on data from a previous clinical study. These demonstrate the feasibility of such a technological concept. Full article
(This article belongs to the Special Issue Application of Wearable and Nearable Gas Sensors for Health and Human Environment Monitoring)
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Review

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45 pages, 2297 KiB  
Review
Carbon Dioxide Sensing—Biomedical Applications to Human Subjects
by Emmanuel Dervieux, Michaël Théron and Wilfried Uhring
Sensors 2022, 22(1), 188; https://0-doi-org.brum.beds.ac.uk/10.3390/s22010188 - 28 Dec 2021
Cited by 16 | Viewed by 5719
Abstract
Carbon dioxide (CO2) monitoring in human subjects is of crucial importance in medical practice. Transcutaneous monitors based on the Stow-Severinghaus electrode make a good alternative to the painful and risky arterial “blood gases” sampling. Yet, such monitors are not only expensive, [...] Read more.
Carbon dioxide (CO2) monitoring in human subjects is of crucial importance in medical practice. Transcutaneous monitors based on the Stow-Severinghaus electrode make a good alternative to the painful and risky arterial “blood gases” sampling. Yet, such monitors are not only expensive, but also bulky and continuously drifting, requiring frequent recalibrations by trained medical staff. Aiming at finding alternatives, the full panel of CO2 measurement techniques is thoroughly reviewed. The physicochemical working principle of each sensing technique is given, as well as some typical merit criteria, advantages, and drawbacks. An overview of the main CO2 monitoring methods and sites routinely used in clinical practice is also provided, revealing their constraints and specificities. The reviewed CO2 sensing techniques are then evaluated in view of the latter clinical constraints and transcutaneous sensing coupled to a dye-based fluorescence CO2 sensing seems to offer the best potential for the development of a future non-invasive clinical CO2 monitor. Full article
(This article belongs to the Special Issue Application of Wearable and Nearable Gas Sensors for Health and Human Environment Monitoring)
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