Lung impedance contributions to the total impedance based on a FDM model and lead field theory

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Predicting tissue resistivity is of significance in medical diagnosis due to the fact that disease induces related tissue resistivity change. Studies have shown that the lung and tissues tumors reflect significant impedance change with disease states. It is hypothesized that the impedance measurement with the largest contribution from the organ of interest will result in less error. In this paper, we determined the percentage contribution of the lung impedance to the total impedance for five different external electrode configurations using a high resolution finite difference model (FDM) of the thorax along with lead field theory. The electrode combinations showed a contribution by the lungs of approximately 20% of the total impedance. Many configurations showed contributions of 15%. The results also showed that each lung could be isolated from the opposite lung.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7769-7772
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
StatePublished - Jan 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Fingerprint Dive into the research topics of 'Lung impedance contributions to the total impedance based on a FDM model and lead field theory'. Together they form a unique fingerprint.

Cite this