Manon Kloosterman , Iris van der Schaaf , Machteld J. Boonstra , Thom F. Oostendorp , Veronique M.F. Meijborg , Ruben Coronel , Peter Loh , Peter M. van Dam
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引用次数: 0
Abstract
Background
The equivalent dipole layer (EDL) relates local endocardial and epicardial transmembrane potentials to body surface potentials and can therefore be used to gain insight into cardiac activation and recovery. To use the EDL-source model for the inverse problem of electrocardiography, initial estimates for local activation times (LAT) and recovery times (LRT) are required because of its non-linear relation with body surface potentials.
Objective
To develop an AT-independent initial RT estimate in the EDL-source model.
Methods
Body surface mapping (BSM) and cardiac imaging were performed in 15 subjects. LAT and LRT were estimated using the EDL-source model. Various ventricular recovery patterns were tested to investigate the relation between recovery patterns and normal T-waves, including LAT-dependent-recovery and RT differences along transmural, interventricular, anterior-posterior and apico-basal axes. A new algorithm was developed based on the backwards modeling of the T-wave (BackRep) to identify the latest area of recovery. Correlation coefficient (CC) and relative difference (RD) between the recorded and computed T-waves were reported.
Results
BackRep (CC = 0.89 [IQR:0.83–0.90]; RD = 0.63 [IQR:0.49–0.69]), outperformed the anatomical axes based recovery patterns (CC = 0.29 [IQR:0.21–0.46] – 0.79 [IQR:0.78–0.83]; RD = 1.02 [IQR:0.98–1.18] – 0.61 [IQR:0.57–0.68]) and LAT-based recovery pattern (CC = 0.63 [IQR:0.60–0.73]; RD = 4.35 [IQR:2.74–9.05]). Of the RT differences along the anatomical axes, the apico-basal recovery pattern showed the best match between recorded and computed T-waves. A significant apex-to-base RT difference was also found in the BackRep recovery maps.
Conclusion
BackRep provides a reliable AT-independent initial RT estimate and supports the presence of an apex-to-base RT difference in normal T-wave morphology.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.