DocumentCode
3747118
Title
In-vivo evaluation of reduced-lead-systems in noninvasive reconstruction and localization of cardiac electrical activity
Author
Matthijs JM Cluitmans;Jo?l Karel;Pietro Bonizzi;Monique MJ de Jong;Paul GA Volders;Ralf LM Peeters;Ronald L Westra
Author_Institution
CARIM School for Cardiovascular Diseases, Maastricht, The Netherlands
fYear
2015
Firstpage
221
Lastpage
224
Abstract
Noninvasive imaging of electrical activity of the heart has increasingly gained attention last decades. Heart-surface potentials are reconstructed from a torso-heart geometry and body-surface potentials recorded from tens to hundreds of body-surface electrodes. However, it remains an open question how many electrodes are needed to accurately reconstruct heart-surface potentials. In a canine model, we reconstructed epicardial electrograms and activation locations, investigating the use of a full-lead system, consisting of 169 well connected body-surface electrodes, and reduced-lead systems: using half or a third of the electrodes, or a minimalistic set of the default 12-lead ECG. Correlation coefficients indicate that the quality of the reconstructed electrograms remains stable to a third of the electrodes, and decreases with fewer electrodes. Similarly, the mismatch between the detected origin of a beat and known pacing location decreases when fewer body-surface electrodes are used. However, when only 9 or 10 electrodes are available for pacing localization, the median mismatch is 30mm, only marginally higher than when half of the electrodes are used, although with a significant error spread up to 65mm. These results indicate that for specific purposes (such as detecting the origin of an extrasystolic beat), a lower number of body-surface electrodes can provide noninvasive electrocardiographic imaging results that might still be useful for a clinical purpose.
Keywords
"Electrodes","Electric potential","Image reconstruction","Heart","Electrocardiography","Geometry"
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2015
ISSN
2325-8861
Print_ISBN
978-1-5090-0685-4
Electronic_ISBN
2325-887X
Type
conf
DOI
10.1109/CIC.2015.7408626
Filename
7408626
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