Model-based approach to the localization of infarction

Computers in Cardiology

Volumn 34, Issue , 2007, Pages 173-176

  Farina, D ^a   Dossel O ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FORWARD PROBLEMS; HEART MODELS; MODEL PARAMETERS; MODEL-BASED APPROACHES; MULTICHANNEL; TRANS-MEMBRANE VOLTAGES;

CARDIOLOGY; ELECTROCARDIOGRAPHY; RISK PERCEPTION;

ELECTROCHROMIC DEVICES;

EID: 62949195798     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745449     Document Type: Conference Paper

References (8)

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3. Glas M. Segmentation des Visible Man Datensatzes. Master's thesis, Universität Karlsruhe (TH), Institut fur Biomedizinische Technik, June 1996. Diploma Thesis.
4. ten Tusscher KHWJ, Noble D, Noble PJ, Panfilov AV. A model for human ventricular tissue. Am J Physiol 2004; 286:H1573-H1589.
5. Gabriel S, Lau RW, Gabriel C. The dielectric properties of biological tissues: II. measurements in the frequency range 10 hz to 20 ghz. Phys Med Biol 1996;41:2251-2269.
6. Fallert MA, Mirotznik MS, Downing SW, Savage EB, Foster KR, Josephson ME, Bogen DK. Myocardial electrical impedance mapping of ischemic sheep hearts and healing aneurysms. Circulation 1993;87:199-207.
7. van Oosterom A. The use of the spatial covariance in computing pericardial potentials. IEEE Trans Biomed Eng 1999;46(7):778-787.
8. Farina D, Jiang Y, Skipa O, Dossel O, Kaltwasser C, Bauer WR. The use of the simulation results as a priori information to solve the inverse problem of electrocardiography for a patient. In Proc. Computers in Cardiology, volume 32. 2005; 571-574.