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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.
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 Image Processing
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-74403DOI: 10.23919/URSIGASS.2017.8105231ISBN: 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: 2018-06-14Bibliographically approved

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Khodadad, DavoodNordebo, Sven

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  • Other locale
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Output format
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