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Erschienen in: Journal of Clinical Monitoring and Computing 6/2013

01.12.2013 | Original Research

Polyvinylidene fluoride film based nasal sensor to monitor human respiration pattern: An initial clinical study

verfasst von: G. Roopa Manjunatha, K. Rajanna, D. Roy Mahapatra, M. M. Nayak, Uma Maheswari Krishnaswamy, R. Srinivasa

Erschienen in: Journal of Clinical Monitoring and Computing | Ausgabe 6/2013

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Abstract

Design and development of a piezoelectric polyvinylidene fluoride (PVDF) thin film based nasal sensor to monitor human respiration pattern (RP) from each nostril simultaneously is presented in this paper. Thin film based PVDF nasal sensor is designed in a cantilever beam configuration. Two cantilevers are mounted on a spectacle frame in such a way that the air flow from each nostril impinges on this sensor causing bending of the cantilever beams. Voltage signal produced due to air flow induced dynamic piezoelectric effect produce a respective RP. A group of 23 healthy awake human subjects are studied. The RP in terms of respiratory rate (RR) and Respiratory air-flow changes/alterations obtained from the developed PVDF nasal sensor are compared with RP obtained from respiratory inductance plethysmograph (RIP) device. The mean RR of the developed nasal sensor (19.65 ± 4.1) and the RIP (19.57 ± 4.1) are found to be almost same (difference not significant, p > 0.05) with the correlation coefficient 0.96, p < 0.0001. It was observed that any change/alterations in the pattern of RIP is followed by same amount of change/alterations in the pattern of PVDF nasal sensor with k = 0.815 indicating strong agreement between the PVDF nasal sensor and RIP respiratory air-flow pattern. The developed sensor is simple in design, non-invasive, patient friendly and hence shows promising routine clinical usage. The preliminary result shows that this new method can have various applications in respiratory monitoring and diagnosis.
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Metadaten
Titel
Polyvinylidene fluoride film based nasal sensor to monitor human respiration pattern: An initial clinical study
verfasst von
G. Roopa Manjunatha
K. Rajanna
D. Roy Mahapatra
M. M. Nayak
Uma Maheswari Krishnaswamy
R. Srinivasa
Publikationsdatum
01.12.2013
Verlag
Springer Netherlands
Erschienen in
Journal of Clinical Monitoring and Computing / Ausgabe 6/2013
Print ISSN: 1387-1307
Elektronische ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-013-9486-x

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