Broad-Band Electrocardiogram Processing for Ventricular Localization
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Solution Overview
Problem
Existing ultra-high-frequency electrocardiography (UHF-ECG) methods struggle to distinguish between nearby and distant sources of ventricular electrical activation, limiting the precision in diagnosing heart abnormalities and pathologies.
Innovation Solution
A method involving multi-channel electrocardiogram processing that measures and analyzes broad-band signals (0.2-1000 Hz) using non-overlapping frequency ranges, calculates amplitude or power envelopes, and computes differences between these ranges to identify nearby and distant ventricular regions, constructing differential ventricular depolarization maps (DVDM) for precise localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultra-high-frequency electrocardiography (UHF-ECG) methods are used to analyze ventricular electrical activation, then the ability to detect electrical activation patterns is improved, but the ability to distinguish between nearby and distant sources is lost
Solution Approach 1:
The patent divides the broad-band ECG signal into multiple non-overlapping frequency ranges (e.g., 0.2-100 Hz, 100-1000 Hz) and processes each range separately. This segmentation allows the system to distinguish between nearby and distant activation sources by comparing the signal characteristics across different frequency bands, thereby resolving the contradiction between detection precision and distance information loss.
Solution Approach 2:
The patent introduces a new dimension of analysis by examining the frequency spectrum of the ECG signal. Instead of analyzing only the temporal waveform, the system incorporates frequency-domain information to differentiate between nearby and distant sources. This dimensional transformation enables simultaneous detection of activation patterns and estimation of source distance.
2Measurement precision
If broad-band multi-channel ECG processing is implemented to locate ventricular activation, then the precision of activation location is improved, but the complexity of signal processing is increased
Solution Approach 1:
The patent segments the processing task into distinct steps: filtering the ECG signal into multiple frequency ranges, computing envelopes for each range, and comparing the envelopes to determine activation location. This segmentation of the processing workflow reduces the complexity of individual operations while achieving high precision through the combination of results.
Solution Approach 2:
The patent applies different processing characteristics to different frequency ranges. Each frequency band is processed with appropriate filters and envelope computation tailored to its specific characteristics. This localized processing approach optimizes the analysis for each frequency component while managing overall system complexity through modular design.
Data Source
AI summary
A method of processing an electrocardiogram that localizes ventricular electrical activation to determine a relative distance of the heart ventricles from the body surface.