Pacing Artifact Removal in Intracardiac ECG Signals
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Solution Overview
Problem
Pacing artifacts in electrophysiology procedures can lead to errors in ECG analysis, as they alter the DC voltage level and baseline slope of the signals, causing incorrect bipolar voltage measurements and false annotations.
Innovation Solution
An algorithm is developed to analyze derived EP signals, identifying and compensating for pacing artifacts by correcting DC levels, baseline wander, and residual signal alterations, thereby minimizing artifact effects on ECG presentations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If pacing signals are applied to characterize myocardium during electrophysiology procedures, then diagnostic information is obtained, but pacing artifacts are introduced that alter DC voltage levels and baseline slopes
Solution Approach 1:
The signal processing is divided into multiple sequential stages: DC level correction, baseline slope correction, and residual artifact removal. Each stage addresses a specific component of the pacing artifact, breaking down the complex artifact removal task into manageable segments that progressively clean the signal.
Solution Approach 2:
The system performs preliminary identification and characterization of pacing artifacts before final signal analysis. By detecting the presence of pacing signals and pre-processing the contaminated signals through DC and baseline corrections, the system prepares the data for accurate interpretation, preventing artifact-induced errors in downstream analysis.
2Reliability
If pacing artifacts are present in ECG signals, then pacing characterization is achieved, but measurement precision deteriorates due to altered DC levels and baseline slopes
Solution Approach 1:
The system continuously monitors the ECG signals for pacing artifacts and dynamically adjusts the correction parameters. By analyzing the residual artifacts after initial correction and iteratively refining the DC level and baseline slope corrections, the system achieves precise artifact removal while preserving the underlying physiological signal for accurate bipolar voltage measurements.
Solution Approach 2:
The system modifies signal parameters through systematic corrections: adjusting DC voltage levels to remove offsets, correcting baseline slopes to eliminate drift, and applying additional filtering for residual artifacts. These parameter transformations restore the signal to its true physiological state, enabling precise voltage measurements despite the presence of pacing artifacts.
3Productivity
If standard ECG analysis is performed on signals containing pacing artifacts, then analysis speed is maintained, but false annotations occur due to artifact-induced errors
Solution Approach 1:
The system performs preliminary artifact detection and correction before the main ECG analysis and annotation processes. By pre-processing the signals to remove pacing artifacts through DC correction, baseline correction, and residual artifact removal, the system ensures that subsequent analysis operates on clean data, preventing false annotations while maintaining analysis throughput.
Data Source
AI summary
A method for removal of a pacing artifact includes registering that a pacing signal has been applied to a pacing location in a heart of a patient. First and second electrodes are positioned respectively in first and second locations in proximity to the pacing location. First and second circuitries, having different, respective first and second transfer functions, are coupled to receive respective first and second ECG signals, generated in response to the pacing signal, from the first and second electrodes. First and second derived ECG signals are recorded from the first and second circuitries in response to the first ECG and second ECG signal. At least one of the first and the second derived ECG signals is analyzed in response to registering the pacing signal. In response to the analyzing, the pacing artifact is removed from the least one of the first and the second derived ECG signals.