oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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.
Show others and affiliations
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 Image Processing 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: 2019-03-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Khodadad, Davood

Search in DiVA

By author/editor
Khodadad, Davood
Medical Image ProcessingSignal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 62 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf