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A Magnetic Resonance-Compatible Wearable Device Based on Functionalized Fiber Optic Sensor for Respiratory Monitoring

Authors :
Carlo Massaroni
Martina Zaltieri
Rosaria D'Amato
Arianna Carnevale
Emiliano Schena
Michele Arturo Caponero
Domenico Formica
Umile Giuseppe Longo
Joshua Di Tocco
Riccardo Sabbadini
Daniela Lo Presti
Presti, D. L.
Massaroni, C.
Zaltieri, M.
Sabbadini, R.
Carnevale, A.
Tocco, J. D.
Longo, U. G.
Caponero, M. A.
D'Amato, R.
Schena, E.
Formica, D.
Source :
IEEE Sensors Journal. 21:14418-14425
Publication Year :
2021
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2021.

Abstract

There is a growing demand of comfortable and unobtrusive wearable systems for monitoring a variety of physiological parameters and in particular the respiratory frequency ( ${f}_{R}$ ). The most popular techniques for ${f}_{R}$ monitoring cannot be used in several clinical applications and in unstructured environment. These issues have fostered a dramatic growth of interest for wearable systems devoted to monitor ${f}_{R}$ . In this arena, fiber Bragg grating (FBG) sensors have gained due to a variety of benefits. In this work, we designed and fabricated an FBG-based wearable device for ${f}_{R}$ monitoring from the nasal airflow. The proposed design does not require a mask to improve the comfortability and acceptability of the system. The sensing element was functionalized by a hygroscopic coating material to make the FBG sensitive to relative humidity changes. This feature allows calculating ${f}_{R}$ starting from the discrimination between the inspiration and expiration phases. A pilot study on 6 volunteers was designed to assess the system during three different breathing stages (i.e., slow, normal and fast breathing). Results showed high performance of the proposed wearable device in detecting mean and breath-by-breath ${f}_{R}$ values (i.e., mean percentage errors ≤ 2.29 % and bias ≤ 0.31 breaths per minute) during slow breathing, normal breathing, and fast breathing.

Details

ISSN :
23799153 and 1530437X
Volume :
21
Database :
OpenAIRE
Journal :
IEEE Sensors Journal
Accession number :
edsair.doi.dedup.....d192b5aebb37460e58a72351f18f2148