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Breath detection using short-time Fourier transform analysis in electrical impedance tomography
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.ORCID iD: 0000-0003-2960-3094
Linnaeus University, Faculty of Technology, Department of Physics and Electrical Engineering.ORCID iD: 0000-0002-7018-6248
The Burroughs, UK.
Swisstom AG, Switzerland.
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2017 (English)In: 2017 32nd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2017, IEEE, 2017, , p. 3p. 1-3Conference paper, Published paper (Refereed)
Abstract [en]

Spectral analysis based on short-time Fourier transform (STFT) using Kaiser window is proposed to examine the frequency components of neonates EIT data. In this way, a simultaneous spatial-time-frequency analysis is achieved.
Place, publisher, year, edition, pages
IEEE, 2017. , p. 3p. 1-3
Keywords [en]
Tomography, Impedance, Lungs, Pediatrics, Monitoring, Ventilation
National Category
Medical Imaging
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-74403DOI: 10.23919/URSIGASS.2017.8105231ISI: 000463723600281Scopus ID: 2-s2.0-85046145323ISBN: 9789082598704 (print)OAI: oai:DiVA.org:lnu-74403DiVA, id: diva2:1207051
Conference
General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2017 XXXIInd, Montreal; Canada; 19 - 26 August 2017
Funder
EU, Horizon 2020, 668259Available from: 2018-05-18 Created: 2018-05-18 Last updated: 2025-02-09Bibliographically approved

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Khodadad, DavoodNordebo, Sven

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