High-Frequency QRS Analysis for Non-Invasive Coronary Vascular Response
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Solution Overview
Problem
Existing methods for evaluating coronary artery vascular response capability, such as coronary angiography and ST-T changes in electrocardiogram, either invade the subject's health or lack accuracy.
Innovation Solution
Analyze high-frequency QRS waveform data from exercise ECG to determine vascular response capability by identifying specific reference points and calculating amplitude drop relative values, screening data based on thresholds, and determining vascular response capability through voltage ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coronary angiography is used to evaluate coronary artery vascular response capability, then measurement precision is improved, but object-affected harmful factors worsen due to invasive impact on subject health
Solution Approach 1:
The patent replaces the mechanical/invasive coronary angiography system with a non-invasive electrocardiogram-based analysis system. By using ECG signals and applying signal processing techniques (high-frequency component extraction, QRS waveform analysis, amplitude drop calculation), the system achieves accurate vascular response evaluation without physical invasion, thus substituting a harmful mechanical procedure with a safe electrical measurement approach.
2Object-affected harmful factors
If ST-T changes in electrocardiogram are analyzed to evaluate coronary artery vascular response capability, then object-affected harmful factors are reduced (non-invasive), but measurement precision worsens due to low evaluation accuracy
Solution Approach 1:
The patent transforms the analysis from traditional ST-T segment parameters to high-frequency QRS waveform parameters. By extracting high-frequency components (30-150 Hz) from ECG signals and analyzing specific QRS waveform characteristics (amplitude drop relative value, voltage ratios), the system changes the measurement parameters to ones that more accurately reflect vascular response while maintaining non-invasive safety.
Solution Approach 2:
The patent introduces a new dimension of analysis by focusing on high-frequency components of the QRS complex rather than traditional low-frequency ST-T segments. This dimensional shift in frequency domain analysis (from 0.5-40 Hz to 30-150 Hz) reveals additional information about vascular response that was previously inaccessible through conventional ECG interpretation.
Data Source
AI summary
The method includes: acquiring the high-frequency QRS waveform data; selecting first reference waveform data in a first time period; determining a first reference point with a minimum root-mean-square voltage in the first reference waveform data, determining a second reference point with a maximum root-mean-square voltage earlier than the first reference point; determining a first amplitude drop relative value according to the first reference point and the second reference point; determining a maximum voltage; selecting a third reference point with a maximum root-mean-square voltage and a fourth reference point with a minimum root-mean-square voltage later than the third reference point from the data in a second time period; determining a voltage difference according to the third reference point and the fourth reference point; screening the data with the first amplitude drop relative value greater than or equal to a first preset threshold, and determining the vascular response capability.