EKG Signal Vector Modeling for Electrode Reversal Detection
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Solution Overview
Problem
Current EKG signal analysis methods struggle to accurately detect electrode reversal, which can affect the interpretation of heart electrical activity, and existing systems fail to effectively model the angular relationships between EKG leads, leading to potential misdiagnosis.
Innovation Solution
A system and method for generating EKG signal vectors by processing EKG axis vectors to produce component vectors, calculating voltage values at specific angles, and determining the EKG axis angle, which allows for accurate identification of angular relationships between leads and mitigates the impact of electrode reversal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electrode reversal is not detected, then EKG interpretation may be inaccurate, but existing analysis methods lack the capability to detect electrode reversal
Solution Approach 1:
The EKG analysis is segmented into distinct vector components (xV and yV sequences) that can be independently processed and summed. This segmentation allows for systematic detection of electrode reversal by analyzing the angular relationships between individual lead vectors without requiring complex overall analysis.
Solution Approach 2:
Vector components serve as intermediaries between the raw EKG lead signals and the final diagnosis. By introducing xV and yV component sequences as intermediate representations, the system can detect electrode reversal through angular relationship analysis without directly complex processing of the original signals.
2Reliability
If angular relationships between EKG leads are not properly modeled, then misdiagnosis may occur, but simple modeling approaches fail to capture the complexity of cardiac electrical activity
Solution Approach 1:
The patent transitions from analyzing single-lead EKG signals to a two-dimensional vector space representation with xV and yV components. This dimensional change enables proper modeling of angular relationships between leads while maintaining mathematical tractability through sequence generation and summation operations.
Solution Approach 2:
The system models the dynamic nature of cardiac electrical activity by generating sequences of vector components that vary over time (M integer values). This dynamic approach captures the changing angular relationships during the cardiac cycle without requiring overly complex static models.
3Measurement precision
If component vectors are not generated from EKG axis vectors, then precise modeling of heart electrical activity is limited, but the process requires complex vector decomposition
Solution Approach 1:
The system creates component vector copies (xV and yV sequences) from the original EKG axis vectors. These copied components can be independently processed and summed without altering the original signals, enabling precise modeling while simplifying the decomposition process through systematic replication.
Data Source
AI summary
A system and method are provided for generating EKG signal vectors for EKG sensing positions, comprising receiving an EKG axis vector and generating two or more component vectors from the EKG axis vector, each component vector identified by a magnitude and direction.