Breath detection using short-time Fourier transform analysis in electrical impedance tomography
Khodadad, Davood, Nordebo, Sven, Seifnaraghi, Nima, Waldmann, Andreas, Müller, Beat and Bayford, Richard 
ORCID: https://orcid.org/0000-0001-8863-6385
(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).
In: 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 19-23 Aug 2017, Montreal, QC, Canada.
ISBN 9789082598704.
[Conference or Workshop Item]
(doi:10.23919/URSIGASS.2017.8105231)
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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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Research Areas: | A. > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group |
| Item ID: | 22606 |
| Notes on copyright: | © 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. |
| Useful Links: | |
| Depositing User: | Richard Bayford |
| Date Deposited: | 06 Oct 2017 09:52 |
| Last Modified: | 29 Nov 2022 20:42 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/22606 |
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