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Breath detection using short-time Fourier transform analysis in electrical impedance tomography
Department of Physics and Electrical Engineering, Linnaeus University, Växjö, Sweden.ORCID iD: 0000-0003-2960-3094
Department of Physics and Electrical Engineering, Linnaeus University, Växjö, Sweden.
Faculty of science and technology, Middlesex University, Hendon campus, The Burroughs, London, United Kingdom.
Swisstom AG, Landquart, Switzerland.
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2017 (English)In: 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), IEEE, 2017, p. 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. 1-3
Keywords [en]
electric impedance imaging, Fourier transforms, medical image processing, medical signal detection, pneumodynamics, spectral analysis, time-frequency analysis, Kaiser window, simultaneous spatial-time-frequency analysis, breath detection, electrical impedance tomography, spectral analysis, short-time Fourier transform analysis, neonates EIT data, Tomography, Impedance, Lungs, Pediatrics, Monitoring, Ventilation
National Category
Medical Imaging Signal Processing
Identifiers
URN: urn:nbn:se:oru:diva-72589DOI: 10.23919/URSIGASS.2017.8105231Scopus ID: 2-s2.0-85046145323OAI: oai:DiVA.org:oru-72589DiVA, id: diva2:1289979
Conference
2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), Montreal, QC, Canada, August 19-26, 2017
Available from: 2019-02-19 Created: 2019-02-19 Last updated: 2025-02-09Bibliographically approved

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Khodadad, Davood

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