Time series of EIT chest images using singular value decomposition and Fourier transform.
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 based on singular value decomposition (SVD) and Fourier transform (FT) respectively. 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 explore the cardiovascular and respiratory systems.
Kerrouche
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EIT Research Group, Oxford Brookes University, UK.
McLeod
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CN
Lionheart
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WR
D017097:Electric Impedance; D005583:Fourier Analysis; D006321:Heart / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D012119:Respiration; D013909:Thorax / Q000033:anatomy & histology*; D013997:Time Factors; D014054:Tomography / Q000379:methods* / Q000706:statistics & numerical data