R-peak Detection in Electrograms Using Amplitude and Wavelet Methods
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Solution Overview
Problem
Existing cardiac waveform detection methods face challenges in accurately identifying R-peaks and QRST complexes, especially during arrhythmogenic activities like fibrillation, due to distortions in waveform morphology, which complicates analysis and interpretation.
Innovation Solution
A method combining amplitude-based and wavelet-based detection techniques to identify R-peaks, with location adjustments based on consistent morphology, and a system that processes electrograms to remove QRST complexes using principal component analysis and interpolation, facilitating the analysis of atrial activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If amplitude-based detection is used to identify R-peaks, then detection speed is improved, but measurement precision deteriorates due to waveform distortion during arrhythmia
Solution Approach 1:
The patent combines amplitude-based detection and wavelet-based detection methods into a unified system. The amplitude method provides rapid initial detection while the wavelet method provides precise location adjustment, resolving the contradiction between speed and precision by integrating both approaches
2Measurement precision
If wavelet-based detection is used to identify R-peaks, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The detection process is segmented into two distinct stages: initial amplitude-based detection for rapid identification, followed by wavelet-based refinement for precise location adjustment. This segmentation allows the system to benefit from both methods while managing complexity through structured processing
3Loss of information
If QRST complexes are present in electrograms, then complete cardiac information is captured, but analysis of atrial activity becomes difficult
Solution Approach 1:
The system extracts and removes QRST complexes from the electrogram signals after detection. This extraction allows the complete cardiac information to be captured initially, then selectively removed to facilitate clear analysis of atrial activity in the remaining signal
Data Source
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AI summary
An example method includes performing amplitude-based detection to determine location of R-peaks for a plurality of electrograms. The method also includes performing wavelet-based detection to determine location of R-peaks for the plurality of electrograms. The method also includes adjusting the location of the R-peaks determined by the wavelet-based detection of R-peaks based on the location of R-peaks determined by the amplitude-based detection of R-peaks. The method also includes storing, in memory, R-peak location data to specify R-peak locations for the plurality of electrograms based on the adjusting.