DocumentCode :
471979
Title :
Transthoracic Atrial Defibrillation Energy Thresholds are Correlated to Uniformity of Current Density Distributions
Author :
Hunt, Leslie C. ; De Jongh, Amy L Curry
Author_Institution :
Dept. of Biomed. Eng., Memphis Univ., TN
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4374
Lastpage :
4377
Abstract :
Previous studies have shown that successful defibrillation depends on the uniformity of current density in the heart and the percentage of total current reaching the heart. This study uses an anatomically-realistic finite element computer model of the human torso for external atrial defibrillation to (1) examine the defibrillation energy thresholds and current density distributions for common clinical paddle placements and (2) investigate the effects of electrode shifts on these defibrillation parameters. The model predicts atrial defibrillation threshold (AD FT) energy by requiring a voltage gradient of 5 V/cm over at least 95% of atrial myocardium. This study finds that variation in electrode placement by only a few centimeters increases ADFTs by up to 46% with a corresponding change of 38% between the average current density in the left and right atria and 34% between the heterogeneity indices of atrial current density distributions. Additionally, the heterogeneity index, or degree of uniformity, is linearly correlated to the ADFT (R2=0.9). We suggest that uniformity of current density distribution, in addition to minimum current density, may be an important parameter to use for predicting successful defibrillation when testing new electrode placements
Keywords :
bioelectric phenomena; biomedical electrodes; electrocardiography; finite element analysis; anatomically-realistic finite element computer model; atrial current density distributions; atrial myocardium; average current density; clinical paddle placement; electrode shifts; external atrial defibrillation; heart; human torso; transthoracic atrial defibrillation energy; voltage gradient; Current density; Defibrillation; Distributed computing; Electrodes; Finite element methods; Heart; Humans; Predictive models; Threshold voltage; Torso;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259490
Filename :
4462771
Link To Document :
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