ECG T-Wave Onset Detection for Inverted and Bidirectional Forms
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Solution Overview
Problem
Existing methods for determining the beginning of T-waves in electrocardiogram (ECG) signals, particularly for inverted or bidirectional forms, suffer from low accuracy and inefficiency, especially in template matching and wavelet transform methods.
Innovation Solution
A method that identifies the form of each T-wave in an ECG signal and recalls a preset algorithm specific to that form, using wavelet transform for unidirectional T-waves and cumulative integral area for bidirectional T-waves, to accurately and efficiently determine the beginning of T-waves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If template matching method is used to determine T-wave beginning, then the method is simple to implement, but the accuracy is low especially for inverted or bidirectional T-waves
Solution Approach 1:
The patent changes the fundamental parameter of the detection approach by switching from template matching to wavelet transform and cumulative integral area methods. These parameter changes enable accurate detection of T-wave beginnings regardless of waveform orientation (upright, inverted, or bidirectional), thereby resolving the accuracy issue while maintaining computational feasibility
Solution Approach 2:
The patent introduces dynamic adaptation by automatically selecting different detection algorithms based on the T-wave form characteristics. The system dynamically adjusts the detection method (wavelet transform for unidirectional, cumulative integral area for bidirectional) according to the actual waveform, improving accuracy across varying conditions while maintaining ease of implementation through automated selection
2Productivity
If wavelet transform method is used for T-wave beginning determination, then the processing speed is improved, but the accuracy remains insufficient for bidirectional T-waves
Solution Approach 1:
The patent segments the detection process into two distinct pathways: one for unidirectional T-waves using wavelet transform, and another for bidirectional T-waves using cumulative integral area method. This segmentation allows each method to be optimized for its specific application, maintaining high processing speed for unidirectional cases while achieving accurate detection for bidirectional cases
Solution Approach 2:
The patent changes the detection parameter based on T-wave characteristics. For bidirectional T-waves, it switches from wavelet transform to cumulative integral area method, which is specifically suited for detecting the beginning point in complex bidirectional waveforms, thereby resolving the accuracy issue while maintaining overall processing efficiency
3Device complexity
If a single algorithm is used for all T-wave forms, then the device complexity is reduced, but the adaptability to different T-wave forms is poor
Solution Approach 1:
The patent creates a universal detection system that can handle multiple T-wave forms (unidirectional and bidirectional) through a single integrated framework. The system universally applies wavelet transform for form identification, then automatically selects the appropriate detection algorithm, achieving multi-functionality without requiring separate dedicated systems for each T-wave type
Solution Approach 2:
The patent introduces dynamic algorithm selection based on T-wave form characteristics. The system automatically identifies the T-wave form and dynamically switches between wavelet transform and cumulative integral area methods, providing high adaptability to different T-wave forms while maintaining manageable complexity through automated decision-making
Data Source
AI summary
A determination method for a beginning of T-wave includes: obtaining an electrocardiogram (ECG) signal; identifying a form of each T-wave in the ECG signal; and recalling a preset algorithm corresponding to the form of the T-wave according to the form of the T-wave to determine a beginning of the T-wave.