Atrial Fibrillation Diagnosis Support System Using Frequency Histograms
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for diagnosing continuous atrial fibrillation lack accuracy, particularly in automatic judgment of continuous atrial electric potential, and rely heavily on manual assessment by doctors, which can be ambiguous and time-consuming, with existing systems failing to provide reliable support for accurate diagnosis.
Innovation Solution
A diagnosis support system that includes an electrocardiogram measurement unit, a complex fractionated atrial electrogram judgment unit, a data storage unit, a frequency histogram generation unit, and an assessment learning unit to assess the degree of atrial fibrillation progression based on electrocardiogram data, enabling automatic judgment and enhanced accuracy through frequency histograms and doctor input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic judgment methods based on frequency analysis and threshold value judgment are used to detect atrial waves with short intervals, then the detection of one characteristic of complex fractionated atrial electrograms is improved, but the automatic judgment of continuous electric potential remains unestablished and inaccurate
Solution Approach 1:
The patent segments the detection task into two independent parts: detecting atrial waves with short intervals using frequency analysis, and detecting continuous electric potential using a different method. This allows each characteristic to be judged by the most suitable method, with the continuous electric potential detection using envelope detection and correlation analysis rather than threshold-based methods.
Solution Approach 2:
The patent introduces an intermediary approach by using envelope detection and correlation analysis as a mediator between the raw electrogram signal and the detection of continuous electric potential. This intermediary method bridges the gap between conventional threshold-based methods and the need for accurate continuous potential detection.
2Measurement precision
If manual assessment by doctors is used to judge continuous electric potential, then diagnostic accuracy can be maintained, but the process becomes time-consuming and ambiguous
Solution Approach 1:
The patent implements self-service by enabling the system to automatically detect and judge continuous electric potential without requiring manual doctor assessment. The automated envelope detection and correlation analysis perform the diagnostic function independently, eliminating the time-consuming manual review process while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical system of manual visual assessment by doctors with an automated electronic detection system using envelope detection and correlation analysis. This substitution eliminates human intervention in the detection process, reducing time consumption and ambiguity while maintaining diagnostic accuracy.
3Ease of operation
If conventional threshold value judgment methods are used, then simple automatic judgment is possible, but the accuracy for continuous electric potential detection is insufficient
Solution Approach 1:
The patent changes the detection parameters from simple threshold values to envelope detection and correlation analysis parameters. This parameter transformation enables accurate detection of continuous electric potential while maintaining automated operation. The system uses RMS value calculation and correlation coefficient computation as the new parameter basis for automatic judgment.
Data Source
AI summary
The degree of progress of an atrial fibrillation which a subject suffers from is assessed and learned on the basis of a frequency histogram according to an occurrence frequency based on judgment results of a complex fractionated atrial electrogram for a specified period of time, which are obtained from the subject's electrocardiogram data.