Automated ECG Analysis System for Precise P Wave Subdivision Measurement

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional ECG systems lack the ability to provide quantitative data due to waveform deformation and instability, leading to inaccurate measurement of cardiac parameters like P-R interval, Q-T interval, and ST segment, which hinders precise diagnosis and relies heavily on morphological analysis and practitioner experience.

Innovation Solution

An automated electrocardiography analysis system that uses signal processing to detect subwaveforms within the P, Q, R, S, T, and J waveforms, and their intervals, allowing for the measurement of specific frequency domain signals from different heart muscle parts, and employs multi-domain ECG to display these signals, enhancing data accuracy and reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional ECG waveform analysis is used, then the system is simple and easy to operate, but the measurement precision and reliability of cardiac parameters deteriorate due to waveform deformation and instability

Engineering Contradiction:

Improvemeasurement precisionVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the ECG waveform into distinct components (P wave, QRS complex, T wave) and further divides each component into sub-components with specific measurement points. This segmentation allows for precise measurement of each segment independently, overcoming the waveform deformation issue in conventional analysis while maintaining systematic organization.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces a multi-dimensional measurement approach by adding vertical (amplitude) and horizontal (time) coordinates to traditional ECG analysis. This creates a two-dimensional measurement space with standardized points, transforming the conventional one-dimensional waveform reading into a structured coordinate-based system that enhances measurement precision.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

2Productivity

If automated measurement systems are implemented, then productivity and diagnostic efficiency improve, but the device complexity and algorithm requirements increase

Engineering Contradiction:

ImproveproductivityVSAvoiddevice complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent establishes standardized measurement points and coordinates beforehand, creating a pre-defined measurement framework. This preliminary structuring of measurement locations and methods enables automated systems to efficiently process ECG waveforms without requiring complex real-time decision-making algorithms, thus improving productivity while controlling complexity.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent transforms the ECG analysis from qualitative morphological assessment to quantitative parameter measurement by introducing specific coordinate values, time intervals, and amplitude measurements. This parameter change enables automated calculation and comparison, significantly improving diagnostic productivity through standardized numerical data.

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If only qualitative morphological analysis is used, then the ease of operation is maintained, but the loss of information increases due to inability to capture quantitative data

Engineering Contradiction:

Improveloss of informationVSAvoidease of operation

Core Design Contradiction:

Loss of informationVSEase of operation

Solution Approach 1:

The patent replaces the manual, experience-based morphological analysis method with an automated coordinate measurement system. This substitution eliminates information loss by capturing precise numerical data at standardized points, while the automation handles the complexity, maintaining ease of operation for end users.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces standardized measurement points and coordinates as intermediaries between the ECG waveform and the analysis process. These intermediaries structurally organize the information extraction, ensuring complete data capture without requiring operators to interpret complex waveform variations directly, thus reducing information loss while maintaining operational simplicity.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS10631750B2Using aiECG to automatically track, navigate and measure ECG waveform data and parameters data

Publication Date: 2020.04.28 CHEN GUANGREN

AI summary

An ECG system measures and annotates a subdivision of the P wave of the ECG waveform from harmonic waveforms. Electrical impulses are received from a beating heart. The electrical impulses are converted to an ECG waveform. The ECG waveform is converted to a frequency domain waveform, which, in turn, is separated into two or more different frequency domain waveforms, which, in turn, are converted into a plurality of time domain cardiac electrophysiological subwaveforms and discontinuity points between these subwaveforms. The plurality of subwaveforms and discontinuity points are compared to a database of subwaveforms and discontinuity points for normal and abnormal patients. Starting and ending discontinuity points are identified for a subdivision of the P wave of the ECG waveform and an APD is calculated for the subdivision. The ECG waveform is displayed along with a location of the P wave subdivision on the ECG waveform and the calculated APD.