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Sensors for Breathing Monitoring—2nd Edition

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

Deadline for manuscript submissions: 20 April 2026 | Viewed by 16

Special Issue Editors


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Guest Editor
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy
Interests: bioengineering of the respiratory system; physiological measurements; biomedical instrumentation and sensors and functional lung imaging
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Physiology, Hyogo Medical University, Nishinomiya 663-8501, Japan
Interests: control of breathing; especially; rhythm generation; pattern formation; coordination between swallowing and breathing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to participate in the Special Issue “Sensors for Breathing Monitoring—2nd Edition”. Breathing monitoring is essential to detecting apnea, hypopnea, and other respiratory abnormalities in clinical settings. Further, respiratory fluctuation presents valuable information that can be used in clinical practice for diagnosis, emotion recognition, and mental conditioning. The recent advancement of sensor technology in combination with machine learning and information theory-based techniques has enabled us to extract hidden information from respiratory fluctuation and translate it into usable forms.

In recent decades, various sensors for breathing monitoring have been developed, which can be classified as 1. airflow-based sensors (e.g., pneumotachograph, thermistor, capnometer, acoustic sensors, etc.); 2. chest wall motion-based sensors (e.g., magnetometer, inductive plethysmography, impedance pneumography, piezoelectric sensors, accelerometer, optical sensors, radio frequency-based methods, etc.); and 3. methods based on respiratory modulation of other physiological signals such as electrocardiograms, arterial pulse wave transit time, photoplethysmograms (PPGs), and imaging PPG.

One of the key issues is establishing an appropriate method for a specific purpose. To accomplish this, we must know the characteristics (accuracy, stability, and restrictions) of these sensors, on the one hand, and the requirements needed to meet the specific purpose, on the other hand.

Contributions to this Special Issue may include, but are not limited to, the following:

  • Novel sensing techniques for breathing monitoring;
  • Practical sensor implementations for diagnosis, emotion recognition, and mental conditioning;
  • New insights into breathing complexity that provide methods to extract useful information. 

Prof. Dr. Andrea Aliverti
Prof. Dr. Yoshitaka Oku
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

  • breath monitoring
  • apnea detecting
  • wearable sensors
  • gas sensors
  • physiological signals

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