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

Nacer Kerrouche, Chris McLeod, William Lionheart

Physiological Measurement · 2001 · 43 citations · 2 references

Concepts

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 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.

References

2