ECG Waveform Grouping for Precise Q and T Wave Detection
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Solution Overview
Problem
Existing electrocardiogram analysis systems struggle to precisely identify the positions of various waveforms such as Q waves and T waves due to their varying forms, making it difficult for computers to accurately sense these features in electrocardiogram waveforms.
Innovation Solution
An electrocardiogram analyzing apparatus that divides electrocardiogram data into heartbeat-by-heartbeat pieces, classifies waveforms into groups based on shape similarity, designates reference positions on representative waveforms, and identifies corresponding positions on subject-of-analysis waveforms using dynamic time warping, thereby improving precision in sensing waveforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computer-based automatic sensing is used to identify wave positions on electrocardiogram waveforms, then analysis efficiency is improved, but measurement precision deteriorates due to difficulty in accurately sensing various wave form variations
Solution Approach 1:
The patent segments the electrocardiogram waveform into multiple characteristic waves (P wave, QRS complex, T wave, U wave) and processes each segment separately. By dividing the continuous waveform into discrete characteristic segments with defined start and end points, the system can apply specific detection algorithms to each segment, improving both automation and precision in identifying wave positions despite variations in waveform morphology.
2Device complexity
If traditional waveform detection methods are used, then device complexity is kept simple, but the ability to handle various wave form variations is insufficient
Solution Approach 1:
The patent employs parameter changes by adjusting detection thresholds, time windows, and amplitude criteria based on the specific characteristics of each wave type and its variations. For example, different amplitude thresholds and duration criteria are applied for detecting P waves versus T waves, allowing the system to adapt to various waveform morphologies while maintaining a relatively simple detection architecture.
Data Source
AI summary
An electrocardiogram analyzing apparatus has: an acquiring section acquiring a plurality of electrocardiogram waveforms; a classifying section classifying the plurality of electrocardiogram waveforms into a plurality of groups on a basis of shape similarity; an accepting section accepting a reference position of a predetermined type of wave designated on a representative waveform corresponding to at least one electrocardiogram waveform belonging to a selection group selected from the plurality of groups; and an analyzing section identifying correspondence between a plurality of positions, along a time axis, on the representative waveform of a group to which a subject-of-analysis electrocardiogram waveform belongs, and a plurality of positions on the subject-of-analysis electrocardiogram waveform along a time axis, and decides, as a position of the predetermined type of wave included in the subject-of-analysis electrocardiogram waveform, a position on the subject-of-analysis electrocardiogram waveform corresponding to the reference position on the representative waveform represented by the correspondence.