DocumentCode
2854667
Title
Data processing and analysis system based on Matlab for electrical impedance tomography
Author
Zhang, Jie ; Patterson, Robert
Author_Institution
Dept. of Biomed. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
4
fYear
2000
fDate
2000
Firstpage
2601
Abstract
The DOS based software supplied for the Sheffield DAS-01P EIT system lacks some features that are needed in order to easily quantify cardiac and respiratory function. A program was developed using Matlab that takes the raw streamed data and produces graphical and numerical data that can be more easily used to compare various physiological conditions. Some of the features of the program are: (1) averaged images can be produced synchronized with both the cardiac and respiratory cycle; (2) borders of selected regions (i.e. organs) can be automatically determined based on tissue resistivity values; (3) borders of selected regions from one image can be transferred to the same location in an other image; and (4) the change in resistivity over a cardiac or respiratory cycle of selected multiple regions can be plotted. The system integrates data processing and analysis. It is simple and easy to use in order to obtain quantitative values and images of physiological changes
Keywords
data acquisition; electric impedance imaging; graphical user interfaces; image reconstruction; medical image processing; DAQ; DOS based software; ECG marking; Matlab based system; borders of selected regions; cardiac function; data processing and analysis system; electrical impedance tomography; image reconstruction; physiological changes; quantitative values; respiratory function; streamed data; synchronized averaged images; tissue resistivity values; user interface; Application software; Conductivity; Data analysis; Data processing; Electrocardiography; Image reconstruction; Impedance; MATLAB; Streaming media; Tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.901391
Filename
901391
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