Inverse problem in geometrical modeling of the sources of medical signals

Author

Lvov, B. ; Al-Nashash, H. ; Al-Zaben, A.

Author_Institution

Dept. of Electron. Eng., Yarmouk Univ., Irbid, Jordan

fYear

1999

fDate

1-4 Mar 1999

Firstpage

179

Abstract

Some applications of geometrical modeling for biomedical signal processing are discussed. A new model of the heart nervous conductive system, used previously for the direct electrogram problem, is used now to solve the inverse problem. Geometrical modeling can give an approximate estimation of the source position and strength, even if the available amount of data is not sufficient for a correct mathematical solution. It can be useful in ECG and EEG inverse problems as well as in creating a model of human torso with non-uniform conductivity

Keywords

computational geometry; electrocardiography; electroencephalography; inverse problems; medical signal processing; signal sources; ECG; EEG; His bundle electrogram; His-Purkinje system; approximate signal strength estimation; approximate source position estimation; biomedical signal processing; direct electrogram problem; geometrical modeling; heart nervous conductive system; human torso model; inverse problem; medical signal sources; nonuniform conductivity; Biomedical signal processing; Brain modeling; Electrocardiography; Electroencephalography; Heart; Humans; Inverse problems; Mathematical model; Solid modeling; Torso;

fLanguage

English

Publisher

ieee

Conference_Titel

Shape Modeling and Applications, 1999. Proceedings. Shape Modeling International '99. International Conference on

Conference_Location

Aizu-Wakamatsu

Print_ISBN

0-7695-0065-X

Type

conf

DOI

10.1109/SMA.1999.749338

Filename

749338