Computational Electrogram Reconstruction from Chest Surface ECG
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Solution Overview
Problem
Current methods for noninvasive electrophysiological studies of the heart, such as surface electrocardiography and transesophageal electrophysiological studies, face limitations in accurately determining local electric activity of the myocardium due to their invasive nature and the complexity of the heart's anatomy, leading to inaccuracies in reconstructing epicardial electrograms and mapping cardiac electrophysiological processes.
Innovation Solution
A computational method that reconstructs electrograms from unipolar ECG recordings on the chest surface, using the boundary element method to solve the Cauchy problem for the Laplace equation, with an iterative algorithm and the fast multipole method to improve accuracy, allowing for noninvasive determination of heart electric field potentials and construction of isopotential and isochronous maps on realistic heart models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods (transesophageal electrophysiological study, epicardial mapping) are used to determine local electric activity of the myocardium, then measurement precision is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The patent creates a computational model (digital twin) of the heart's electrical field that replicates invasive measurement capabilities without physical invasion. The model uses boundary element method to reconstruct epicardial electrograms from surface ECG data, effectively copying the diagnostic function of invasive electrodes through mathematical simulation rather than physical penetration of heart chambers.
Solution Approach 2:
The patent replaces the mechanical invasive electrode insertion system with a computational mathematical model. Instead of physically placing electrodes in heart chambers or along the esophagus, the system uses boundary element method equations to calculate electrical potentials, substituting mechanical measurement with computational reconstruction from surface data.
2Ease of operation
If surface electrocardiography with multiple unipolar leads is used to map electric potential distribution, then ease of operation is improved, but measurement precision deteriorates due to signal superposition from multiple myocardial sources
Solution Approach 1:
The patent segments the heart's electrical sources into discrete computational elements using boundary element method. The continuous electrical field is divided into multiple point sources distributed across the myocardium, allowing individual source contributions to be calculated and summed to reconstruct the total field, thereby resolving the superposition problem while maintaining surface recording simplicity.
Solution Approach 2:
The patent transitions from two-dimensional surface ECG recordings to three-dimensional volumetric reconstruction of the electrical field. By solving the Laplace equation in 3D space with boundary conditions from surface measurements, the system recovers volumetric electrical potential distribution, adding the spatial dimension necessary to separate overlapping signals from different myocardial layers.
3Measurement precision
If transesophageal electrophysiological study is used to register activity of specific heart compartments, then measurement precision is improved, but device complexity and loss of time increase
Solution Approach 1:
The patent performs preliminary computational setup by creating a digital model of the heart's electrical geometry and boundary conditions before any measurement. The boundary element method pre-calculates the relationship between surface ECG signals and internal electrical potentials, allowing rapid reconstruction of compartmental activity without time-consuming invasive procedures during actual diagnosis.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables precise noninvasive reconstruction of heart electric field potentials and accurate diagnosis of electrophysiological processes, overcoming the limitations of invasive methods and improving the resolution of local electric activity mapping.
Implementation Method 1
using the boundary element method to solve the Cauchy problem for the Laplace equation
Implementation Method 2
reconstructing the dynamics (propagation) of the heart electric field
Implementation Method 3
the fast multipole method to improve accuracy
Data Source
AI summary
The invention relates to medicine, namely to cardiology, cardiovascular surgery, functional diagnosis and clinical electrophysiology of the heart. The invention consists in reconstructing electrograms, whose experimental registration requires an invasive access, by computational way on unipolar ECGs recorded at 80 and more points of the chest surface. An application of the method allows one to improve the accuracy of non-invasive diagnosis of cardiac rhythm disturbances and other cardio-vascular diseases.