EP Signal Processing Circuit Path for Noise Filtering Integrity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current electrophysiology (EP) systems face challenges in accurately detecting and recording cardiac signals during ablation procedures due to noise interference, limited ability to process multiple signals in real-time, and distortion of low-amplitude, high-frequency signals, which hinders effective treatment of arrhythmias like atrial fibrillation and ventricular tachycardia.
Innovation Solution
The development of an EP system that uses software-based digital signal processing algorithms to filter and process cardiac signals in real-time, allowing for simultaneous display of raw and processed signals, reducing noise, and synchronizing multiple signal processing algorithms, while minimizing hardware filtering to preserve signal integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If hardware filtering is used to reduce noise in cardiac signals, then noise is reduced, but signal integrity and accuracy of low-amplitude high-frequency signals are distorted
Solution Approach 1:
The patent replaces hardware-based mechanical filtering with software-based digital signal processing. The system acquires raw cardiac signals without aggressive hardware filtering, then applies digital filters and processing algorithms in software to reduce noise while preserving signal integrity. This substitution allows flexible, adaptive noise reduction that maintains the accuracy of low-amplitude high-frequency signals critical for atrial fibrillation and ventricular tachycardia detection.
2Measurement precision
If multiple signal processing algorithms are applied simultaneously, then signal quality improves, but system complexity increases
Solution Approach 1:
The patent segments the signal processing functionality into modular software components that can be independently applied to different cardiac signals. Each processing algorithm (filtering, noise reduction, feature extraction) operates as a separate module that can be selectively enabled or disabled. This modular architecture allows multiple algorithms to run simultaneously with reduced computational overhead and easier system management, maintaining signal quality while controlling complexity.
3Reliability
If real-time processing of multiple cardiac signals is implemented, then treatment effectiveness improves, but processing speed and computational resources are strained
Solution Approach 1:
The patent performs preliminary signal conditioning and preprocessing operations as signals are acquired, preparing them for subsequent analysis. Low-pass filtering and basic noise reduction are applied in real-time during signal acquisition, while more computationally intensive algorithms are applied selectively based on detected signal characteristics. This preliminary processing reduces the computational burden on subsequent analysis stages, enabling effective real-time processing of multiple signals without excessive computational strain.
Data Source
AI summary
Systems, methods, and computer program product embodiments are disclosed for performing electrophysiology (EP) signal processing. An embodiment includes an electrocardiogram (ECG) circuit board configured to process an ECG signal. The embodiment further includes a plurality of intracardiac (IC) circuit boards, each configured to process a corresponding IC signal. The ECG circuit board and the plurality of IC circuit boards share substantially a same circuit configuration and components. The ECG circuit board further processes the ECG signal using substantially a same path as each IC circuit board uses to process its corresponding IC signal.


