Cardiac Signal Analyzer Using Multi-Dimensional Synchronization
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Solution Overview
Problem
Current ECG waveform analysis is subjective, time-consuming, and requires extensive clinical expertise, failing to accurately detect early cardiac arrhythmias and myocardial ischemia due to its reliance on one-dimensional signal comparison and inability to localize arrhythmia locations effectively.
Innovation Solution
A system for analyzing cardiac electrophysiological signals using multi-dimensional synchronization methods, including P wave, R wave, and S wave synchronization, to identify changes in amplitude and time duration across multiple heart cycles, with automatic analysis and visualization to facilitate early detection and characterization of cardiac arrhythmias and myocardial ischemia.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If one-dimensional waveform morphology analysis is used, then the analysis is simpler and faster, but the measurement precision and reliability of cardiac arrhythmia detection deteriorates
Solution Approach 1:
The patent transforms one-dimensional waveform analysis into multi-dimensional analysis by introducing time-domain parameters (amplitude, duration, slope) and frequency-domain characteristics as additional dimensions. This enables comprehensive characterization of cardiac signals, improving arrhythmia detection accuracy while maintaining processing efficiency through automated feature extraction and pattern recognition algorithms.
2Device complexity
If R wave synchronization is used for signal comparison, then the analysis is simpler, but the reliability of arrhythmia localization and early small signal change detection deteriorates
Solution Approach 1:
The patent segments the cardiac cycle into multiple distinct portions (P wave, QRS complex, T wave) and applies different synchronization methods to each segment. This allows precise alignment of specific waveform components, enabling accurate detection of early small signal changes and reliable localization of arrhythmias without requiring complex overall synchronization.
Solution Approach 2:
The patent applies different synchronization strategies to different portions of the cardiac signal based on their specific characteristics. Each waveform segment is processed with optimized synchronization parameters, allowing maximum sensitivity for detecting abnormalities in each local region while maintaining overall system simplicity.
3Ease of operation
If known ECG analysis methods are used, then the system is easier to operate, but the measurement precision for early stage cardiac events and quantitative diagnosis deteriorates
Solution Approach 1:
The patent implements automated feature extraction, synchronization, and diagnosis algorithms that automatically process cardiac signals without requiring manual intervention. The system self-adjusts synchronization parameters and automatically identifies arrhythmias and early cardiac events, maintaining ease of operation while significantly improving measurement precision through computational algorithms.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors signal characteristics, adjusts synchronization parameters in real-time, and refines its diagnostic algorithms based on detected patterns. This feedback loop enables high-precision detection of early cardiac events while keeping the user interface simple and easy to operate.
Data Source
AI summary
An analyzer automatically analyzes both, a common portion of multiple successive heart cycles of electrophysiological signal data synchronized with respect to a P wave and a common portion of multiple successive heart cycles of the signal data synchronized with respect to an R wave, to identify changes occurring in amplitude value and time duration of the common portion of the multiple successive heart cycles of the signal data. A display processor initiates generation of at least one display image showing the common portion of the multiple successive heart cycles synchronized in time, adjacent and mutually vertically displaced to facilitate visual comparison and highlighting an identified change by a visual attribute.