Noninvasive Atrial Electrical Heterogeneity Assessment
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Solution Overview
Problem
Current methods for determining atrial electrical heterogeneity are invasive and lack noninvasive solutions for evaluating and configuring cardiac therapy, particularly for atrial pacing therapies, which are essential for managing atrial fibrillation and dyssynchrony.
Innovation Solution
The use of external electrodes and computing apparatus to measure and analyze torso-surface potentials, generating P-wave electrical heterogeneity without the need for implantable devices, allowing for noninvasive evaluation and optimization of atrial pacing therapies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive methods are used to determine atrial electrical heterogeneity, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent uses surface ECG signals as a noninvasive copy or surrogate of the intracardiac electrical activity. Instead of directly measuring atrial electrical heterogeneity through invasive catheters, the system captures surface ECG P-wave signals that contain information about atrial activation patterns. This copying approach allows noninvasive assessment while maintaining useful measurement precision for clinical decision-making regarding atrial pacing therapy configuration
Solution Approach 2:
The patent introduces signal processing algorithms and computational methods as intermediaries to extract atrial electrical heterogeneity information from surface ECG signals. The computing apparatus processes the raw ECG data to generate metrics that reflect intracardiac electrical patterns, serving as a mediator between the noninvasive surface measurement and the invasive intracardiac reality
2Ease of operation
If surface ECG signals are used to measure atrial electrical activity, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the surface ECG signals through various parameter changes and signal processing operations to enhance the extractable information. The computing apparatus applies algorithms that change the parameters of the raw ECG data to generate derived metrics that better reflect atrial electrical heterogeneity, effectively converting a low-fidelity signal into useful clinical information through mathematical transformation
Solution Approach 2:
The patent focuses on extracting specific local information from the ECG signal, particularly from the P-wave portion, to assess atrial electrical heterogeneity. By concentrating analysis on the relevant temporal and spectral characteristics of the P-wave, the system achieves precise measurement of atrial activation patterns despite using noninvasive surface electrodes
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 effective noninvasive assessment and configuration of cardiac therapy, improving bi-atrial synchrony and reducing the risk of arrhythmias by quantifying atrial electrical heterogeneity from multi-electrode ECG signals, thus aiding in the optimization of pacing therapies.
Implementation Method 1
obtain external electrical activity measured from tissue of a patient using a plurality of external electrodes
Data Source
AI summary
Systems and methods of generating atrial electrical heterogeneity using electrical activity monitored using a plurality of external electrodes are described herein. The atrial electrical heterogeneity may include P-wave electrical heterogeneity. The atrial electrical heterogeneity generated from electrical activity monitored during atrial pacing therapy may be used to evaluate and adjust atrial pacing therapy. The atrial electrical heterogeneity generated from electrical activity monitored during intrinsic activation may be used to evaluate a patient's cardiac condition.