Cardiovascular Detection via Quantum Spectrum Analysis
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Solution Overview
Problem
Current cardiovascular diagnostic methods, particularly ECG, are insensitive to coronary heart disease and myocardial ischemia, leading to unreliable early diagnosis and potential false positives, and fail to accurately locate myocardial ischemia in coronary arteries.
Innovation Solution
A unified method and system that integrates time domain, frequency domain, and spatial domain analysis of cardiac electrical signals using quantum spectrum analysis, allowing for comprehensive detection and localization of cardiovascular conditions, including myocardial ischemia, without the need for invasive angiography.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ECG time domain analysis is used, then the method is simple and widely applicable, but the sensitivity for detecting coronary heart disease and myocardial ischemia is low
Solution Approach 1:
The patent transforms cardiac electrical signals from traditional time domain analysis to frequency domain analysis using Fast Fourier Transform (FFT). This dimensional change in signal processing allows detection of spectral characteristics that are invisible in time domain, thereby improving sensitivity for coronary heart disease and myocardial ischemia detection while maintaining computational feasibility
2Measurement precision
If exercise stress ECG is performed to improve coronary heart disease diagnosis, then diagnostic accuracy improves by 15-20%, but false positives increase by more than 25% and potential myocardial infarction may be induced
Solution Approach 1:
The patent replaces the mechanical stress induction method (exercise stress test) with a spectral analysis method. By analyzing frequency domain characteristics of resting ECG signals, the system achieves improved diagnostic accuracy without requiring physical stress that causes false positives and potential myocardial infarction
3Reliability
If ECG body surface potential mapping is used to improve ECG diagnostic capability, then some diagnostic information is enhanced, but the method is complex and provides only limited improvement
Solution Approach 1:
The patent changes the analysis parameters from time domain waveforms to frequency domain spectral characteristics. By applying FFT to standard 12-lead ECG signals and analyzing spectral power distribution across different frequency bands, the method achieves enhanced diagnostic capability without requiring complex body surface potential mapping systems
Data Source
AI summary
The detection and diagnosis of a variety of cardiovascular disorders and levels of heart condition, using a novel method and system, according to a comprehensive analysis of cardiac electrical signal via the frequency domain, time domain, spatial domain.