Breath detection using short-time Fourier transform analysis in electrical impedance tomography
Conference paper
Khodadad, D., Nordebo, S., Seifnaraghi, N., Waldmann, A., Müller, B. and Bayford, R. 2017. Breath detection using short-time Fourier transform analysis in electrical impedance tomography. 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). Montreal, QC, Canada 19 - 23 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 2185-2187 https://doi.org/10.23919/URSIGASS.2017.8105231
Type | Conference paper |
---|---|
Title | Breath detection using short-time Fourier transform analysis in electrical impedance tomography |
Authors | Khodadad, D., Nordebo, S., Seifnaraghi, N., Waldmann, A., Müller, B. and Bayford, R. |
Abstract | 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. |
Research Group | Biophysics and Bioengineering group |
Conference | 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) |
Page range | 2185-2187 |
ISBN | |
Hardcover | 9789082598704 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Publication dates | |
19 Aug 2017 | |
Online | 13 Nov 2017 |
Publication process dates | |
Deposited | 06 Oct 2017 |
Accepted | 01 May 2017 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.23919/URSIGASS.2017.8105231 |
Language | English |
Book title | 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) |
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