The Importance of ECG Offset Correction for Premature Ventricular Contraction Origin Localization from Clinical Data
Author:
Svehlikova Jana1, Pribilova Anna1, Zelinka Jan1, Ondrusova Beata12, Kromkova Katarina3, Hlivak Peter3, Hatala Robert3, Tysler Milan1
Affiliation:
1. Institute of Measurement Science, Slovak Academy of Sciences , Department of Biomeasurements , Dubravska cesta 9 , Bratislava , Slovakia 2. Faculty of Electrical Engineering and Information Technology , Slovak University of Technology in Bratislava , Ilkovičova 2961 , Bratislava , Slovakia 3. National Institute for Cardiovascular Diseases , Department of Arrhythmias and Cardiostimulation , Pod Krasnou horkou 1 , Bratislava , Slovakia
Abstract
Abstract
In this study, the inverse solution with a single dipole was computed to localize the premature ventricular contraction (PVC) origin from long term multiple leads ECG measurements on fourteen patients. The stability of the obtained results was studied with respect to the preprocessing of signals used as an input to the inverse solution and the complexity of the torso model. Two methods were used for the baseline drift removal. After an averaging of the heartbeats, the influence of the retention or elimination of the remaining offset at the beginning of the PVC signal was examined. The inverse computations were performed using both homogeneous and inhomogeneous patient-specific torso models. It was shown that the remaining offset in the averaged signals at the beginning of the PVC signal had the most significant impact on the stability of the resulting position within the ventricles. Its elimination stabilizes the location of the results, decreases the sensitivity to the torso model complexity and decreases the sensitivity to the primary baseline drift removal method. The additional offset correction decreased the mean distance between the results for all patients from 17-18 mm to 1-2 mm, regardless of the baseline drift removal method or the torso model complexity.
Publisher
Walter de Gruyter GmbH
Subject
Instrumentation,Biomedical Engineering,Control and Systems Engineering
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