ECG Signal Analysis for Ischemia Detection via High-Frequency Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting myocardial ischemia, such as imaging techniques and electrocardiography, are either costly and invasive or fail to detect all obstructions, highlighting the need for a non-invasive system to monitor electrocardiogram signals effectively.
Innovation Solution
A method and system that extract high-frequency and low-frequency components from ECG signals to detect reduced amplitude zones and premature ventricular contractions, identifying potential ischemic conditions by analyzing these components and generating location estimates based on multiple sensing vectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging techniques (nuclear myocardial scan, PET scan, CT scan) are used to detect coronary artery obstructions, then diagnostic accuracy is improved, but cost and time consumption increase significantly
Solution Approach 1:
The patent extracts and analyzes specific frequency components (high-frequency components above 100 Hz) from standard ECG signals to detect myocardial ischemia. By isolating and examining the high-frequency portion of the QRS complex, the system能够获得 ischemia detection capability without requiring complex imaging procedures, thus resolving the contradiction between diagnostic accuracy and time consumption
Solution Approach 2:
The patent replaces mechanical/imaging-based detection systems with an electrical signal analysis system. Instead of using nuclear scans, PET scans, or CT scans that require complex equipment and procedures, the invention uses electronic filtering and analysis of ECG signals to detect ischemia, achieving comparable diagnostic value with minimal time and resource investment
2Ease of operation
If standard ECG monitoring is used to detect myocardial ischemia, then the method remains non-invasive and simple, but it fails to detect all obstructions as myocardial ischemia does not always present with depressed or elevated ST segments
Solution Approach 1:
The patent changes the analysis parameter from traditional ST-segment morphology to high-frequency component analysis. By filtering ECG signals to extract frequencies above 100 Hz and analyzing the envelope of these components, the system detects ischemia through a different physiological manifestation that is not limited to ST-segment changes, thereby improving detection completeness while maintaining method simplicity
Solution Approach 2:
The patent adds a new dimension to ECG analysis by examining the high-frequency spectral content rather than just the time-domain waveform morphology. This dimensional shift from traditional visual inspection of ECG traces to frequency-domain analysis enables detection of ischemia that does not manifest through conventional ST-segment changes
3Measurement precision
If high-frequency components are extracted and analyzed to detect reduced amplitude zones, then detection accuracy for myocardial ischemia is improved, but signal processing complexity increases
Solution Approach 1:
The patent segments the ECG signal processing into distinct functional blocks: a high-pass filter to isolate high-frequency components, an envelope detector to extract the amplitude modulation, and a peak detector to identify reduced amplitude zones. This segmentation allows each component to perform a specific function with simple circuitry, achieving accurate ischemia detection without requiring complex overall system design
Data Source
AI summary
A system and method of monitoring electrocardiogram (ECG) signals and detecting ischemic conditions. In particular, high-frequency components and low-frequency components are extracted from the monitored ECG signal. The high-frequency components are analyzed to detect reduced amplitude zones (RAZs), while the low-frequency components are utilized to detect premature ventricular contraction (PVC) beats. Potentially ischemic conditions are identified based on both RAZs and PVC beats detected.