DocumentCode :
2468509
Title :
Predicting the optimal position and direction of a ubiquitous ECG using a multi-scale model of cardiac electrophysiology
Author :
Lim, Ki Moo ; Hong, Seong Bae ; Jeon, Jae Won ; Gyung, Min Su ; Ko, Byung Hoon ; Bae, Sang Kon ; Shin, Kun Soo ; Shim, Eun Bo
Author_Institution :
Department of Mechanical & Biomedical Engineering, Kangwon National University, Chuncheon, Ganwon-do, South Korea
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
993
Lastpage :
996
Abstract :
In this study, we determined the optimal position and direction of a one-channel bipolar electrocardiogram (ECG), used ubiquitously in healthcare. To do this, we developed a three-dimensional (3D) electrophysiological model of the heart coupled with a torso model that can generate a virtual body surface potential map (BSPM). Finite element models of the atria and ventricles incorporated the electrophysiological dynamics of atrial and ventricular myocytes, respectively. The torso model, in which the electric wave pattern on the cardiac tissue is reflected onto the body surface, was implemented using a boundary element method. Using the model, we derived the optimal positions of two electrodes, 5 cm apart, of the bipolar ubiquitous ECG (U-ECG) for detecting the P, R, and T waves. This model can be used as a simulation tool to design U-ECG device for use for various arrhythmia and normal patients.
Keywords :
Electrocardiography; Electrodes; Heart; Humans; Mathematical model; Solid modeling; Torso; Algorithms; Arrhythmias, Cardiac; Computer Simulation; Diagnosis, Computer-Assisted; Electrocardiography; Heart Conduction System; Humans; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090230
Filename :
6090230
Link To Document :
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