Synchronized ECG BCG Cardiovascular Abnormality Detection
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Solution Overview
Problem
Current cardiovascular health monitoring methods, such as ECG and stress tests, are inadequate for early detection of abnormalities and malfunctions, as they provide static records and are not sensitive enough to reflect severe underlying heart issues, especially in asymptomatic patients, and often yield non-specific results.
Innovation Solution
A system and method for concurrently detecting, processing, and synchronizing multiple physiological signals like ECG and BCG to identify and characterize repeating cyclical patterns, allowing for the detection of cardiovascular abnormalities by aligning and analyzing these signals to produce synchronized paired signals for improved diagnostic accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ECG and stress tests are used for cardiovascular monitoring, then diagnostic information can be obtained, but the sensitivity and precision for detecting abnormalities are insufficient
Solution Approach 1:
The patent combines multiple physiological signal sources (ECG, BCG, and other cardiovascular signals) into an integrated monitoring system. By synchronizing and analyzing these signals together, the system achieves higher detection accuracy and reliability than any single test method could provide alone, directly resolving the contradiction between measurement precision and test reliability.
Solution Approach 2:
The patent introduces temporal synchronization as a new dimension for analysis by aligning multiple physiological signals in time. This allows the system to detect abnormalities that are not visible in static ECG records alone, transforming the diagnostic approach from two-dimensional static analysis to multi-dimensional dynamic analysis, thereby improving both precision and reliability.
2Loss of information
If static ECG records are used, then cardiovascular function at a specific time is captured, but underlying heart problems during asymptomatic periods are not reflected
Solution Approach 1:
The patent implements continuous monitoring of multiple physiological signals over time, capturing cardiovascular function dynamically rather than at static moments. This continuous action ensures that underlying heart problems are detected even during asymptomatic periods, eliminating information loss and improving abnormality detection precision simultaneously.
Solution Approach 2:
The system performs preliminary detection of cardiovascular abnormalities by continuously monitoring signals before symptoms manifest. By detecting subtle changes in synchronized physiological signals during asymptomatic periods, the system can identify underlying problems early, preventing information loss and improving detection precision before conditions worsen.
3Measurement precision
If multiple physiological signals are concurrently detected and synchronized, then diagnostic accuracy improves, but system complexity increases
Solution Approach 1:
The patent employs a universal synchronization framework that can handle multiple types of physiological signals (ECG, BCG, and others) through a common processing architecture. This multi-functional approach allows the system to maintain high diagnostic accuracy across different signal types while avoiding the need for separate complex analysis systems for each signal, thereby managing overall system complexity.
4Reliability
If conventional stress tests are performed, then cardiovascular response to stress is assessed, but the results are often non-specific and not sufficiently sensitive
Solution Approach 1:
The patent merges multiple physiological signal measurements during stress testing to create a more comprehensive assessment of cardiovascular response. By combining ECG, BCG, and other signals with temporal synchronization, the system produces specific and sensitive results that overcome the non-specific nature of conventional single-signal stress tests, simultaneously improving both reliability and precision.
Data Source
AI summary
A method for monitoring an individual's physiological condition and detecting abnormalities therein, comprising concurrently receiving an electrocardiograph signal and a ballistocardiograph signal. The electrocardiograph and ballistocardiograph signals are conditioned to minimize background extraneous noise after which, each signal is concurrently processed and analyzed to detect repeating cyclical patterns and further characterized to identify individual components of the repeating cycles. At least one individual component in one signal is selected as a reference marker for a selected component in the other signal. The two signals are then synchronized, outputs produced therefrom and stored in a database.