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      Smart Textile Based on Fiber Bragg Grating Sensors for Respiratory Monitoring: Design and Preliminary Trials

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          Abstract

          Continuous respiratory monitoring is important to assess adequate ventilation. We present a fiber optic-based smart textile for respiratory monitoring able to work during Magnetic Resonance (MR) examinations. The system is based on the conversion of chest wall movements into strain of two fiber Bragg grating (FBG) sensors, placed on the upper thorax (UT). FBGs are glued on the textile by an adhesive silicon rubber. To increase the system sensitivity, the FBGs positioning was led by preliminary experiments performed using an optoelectronic system: FBGs placed on the chest surface experienced the largest strain during breathing. System performances, in terms of respiratory period (T R), duration of inspiratory (T I) and expiratory (T E) phases, as well as left and right UT volumes, were assessed on four healthy volunteers. The comparison of results obtained by the proposed system and an optoelectronic plethysmography highlights the high accuracy in the estimation of T R, T I, and T E: Bland-Altman analysis shows mean of difference values lower than 0.045 s, 0.33 s, and 0.35 s for T R, T I, and T E, respectively. The mean difference of UT volumes between the two systems is about 8.3%. The promising results foster further development of the system to allow routine use during MR examinations.

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          Most cited references 32

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Biosensors (Basel)
                Biosensors (Basel)
                biosensors
                Biosensors
                MDPI
                2079-6374
                14 September 2015
                September 2015
                : 5
                : 3
                : 602-615
                Affiliations
                [1 ]Unit of Measurements and Biomedical Instrumentation, Center for Integrated Research, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, Rome 00128, Italy; E-Mails: marco.ciocchetti@ 123456alcampus.it (M.C.); c.massaroni@ 123456unicampus.it (C.M.); p.saccomandi@ 123456unicampus.it (P.S.)
                [2 ]Photonics Micro- and Nano-structures Laboratory, Research Centre of Frascati, ENEA, Via E. Fermi, 45, Frascati, Rome 00044, Italy; E-Mails: michele.caponero@ 123456enea.it (M.A.C.); andrea.polimadei@ 123456enea.it (A.P.)
                [3 ]Unit of Biomedical Robotics and Biomicrosystems, Center for Integrated Research, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo, 21, Rome 00128, Italy; E-Mail: d.formica@ 123456unicampus.it
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Author to whom correspondence should be addressed; E-Mail: e.schena@ 123456unicampus.it ; Tel.: +39-062-2541-9650.
                Article
                biosensors-05-00602
                10.3390/bios5030602
                4600174
                26389961
                © 2015 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

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