2D ECG Signal Representation for Interpretable Cardiovascular Monitoring
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Solution Overview
Problem
Portable ECG monitors provide ECG measurements that are not directly interpretable by users, requiring medical knowledge, which limits their uptake due to the complexity of understanding heart electrical activity signals.
Innovation Solution
A processor-based method and system that cleans ECG signals using a bandpass filter, segments them to identify R-peaks, aligns and analyzes the variability of these peaks, and generates a 2D representation to facilitate easy interpretation and automation of ECG analysis, enabling the detection of cardiovascular diseases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If portable ECG monitors are used to provide ECG measurements, then convenience and accessibility are improved, but the signals remain not directly interpretable requiring medical knowledge
Solution Approach 1:
The patent transforms 1D ECG signals into 2D visual representations by plotting consecutive R-peaks along the x-axis and their corresponding RR intervals along the y-axis. This dimensional transformation creates a visually interpretable pattern that reveals heart rate variability and rhythm abnormalities without requiring medical expertise, thus resolving the contradiction between portability and interpretability.
2Extent of automation
If automated ECG analysis is implemented, then ease of use is improved, but accuracy in detecting cardiovascular diseases may be compromised without medical knowledge
Solution Approach 1:
The patent introduces an intermediary visual representation (2D plot of R-peaks and RR intervals) that bridges the gap between raw ECG signals and medical interpretation. This intermediate visualization preserves critical diagnostic information while enabling automated analysis, allowing non-medical users to obtain accurate cardiovascular health assessments without direct medical intervention.
3Ease of operation
If ECG signals are processed and visualized in 2D representation, then interpretability is improved, but processing time and computational requirements increase
Solution Approach 1:
The patent extracts only the essential features from the ECG signal - specifically the R-peaks and their intervals - to create the 2D representation. By focusing on these critical elements rather than processing the entire ECG waveform, the system achieves rapid visualization that is both interpretable and computationally efficient, minimizing processing time while maintaining diagnostic value.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system allows for end-to-end automation of ECG analysis, providing users with interpretable 2D representations and real-time interpretations of cardiovascular health, enhancing the usability of portable ECG monitors.
Implementation Method 1
noise data from the raw ECG signal is removed via a bandpass filter implemented by the one or more hardware processors, to obtain a clean signal
Data Source
AI summary
Portable ECG monitors available in market have the disadvantage that the ECG data they provide as input aren't directly interpretable and requires medical knowledge for the users. The disclosure herein generally relates to Electrocardiogram (ECG), and, more particularly, to a method and system for generating 2d representation of electrocardiogram (ECG) signals. The system provides a mechanism for determining variability between a plurality of segments of an ECG data measured, and uses the information on the determined variability to generate the 2D representation corresponding to the ECG signal. The system further provides means to generate a data model that can be further used for processing real-time ECG data for generating corresponding interpretations. This allows a user to obtain the interpretations as output.