Time series of EIT chest images using singular value decomposition and Fourier transform

Authors
Kerrouche, N McLeod, CN Lionheart, WRB
Citation
N. Kerrouche et al., Time series of EIT chest images using singular value decomposition and Fourier transform, PHYSL MEAS, 22(1), 2001, pp. 147-157
Citations number
3
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology",Physiology
Journal title
PHYSIOLOGICAL MEASUREMENT
ISSN journal
09673334 → ACNP
Volume
22
Issue
1
Year of publication
2001
Pages
147 - 157
Database
ISI
SICI code
0967-3334(200102)22:1<147:TSOECI>2.0.ZU;2-Y
Abstract
The aim of this study is to propose a useful method for exploring regional ventilation and perfusion in the chest, The paper describes two methods bas ed on singular value decomposition (SVD) and Fourier transform (FT) respect ively. This work shows that power spectral density (PSD) and phase images ( derived from the Fourier transform) are easier to interpret and more useful tools for exploiting in vivo EIT data in healthy volunteers in order to ex plore the cardiovascular and respiratory systems.