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Computationally inexpensive methods for intra-cardiac atrial bipolar electrogram compression
P Rossi1, A Casaleggio, M Chiappalone
1Division of Cardiology, San Martino Hospital, Genoa, Italy. paolo.rossi@Hsanmartino.liguria.it
Summary
The Peak method offers superior compression for intra-cardiac electrograms, achieving high compression ratios with low data loss. This algorithm is ideal for real-time data compression in implantable cardiac devices.
Area of Science:
- Biomedical Engineering
- Signal Processing
- Cardiology
Background:
- Implantable cardiac devices require efficient data compression for intra-cardiac electrograms (IEGMs).
- Existing algorithms may not meet the low computational demands of real-time processing on implantable devices.
Purpose of the Study:
- To evaluate mathematical algorithms for compressing bipolar atrial IEGMs.
- To identify algorithms suitable for implementation in implantable cardiac devices.
Main Methods:
- Compared Zero Order Prediction (ZOP), Scan Along Polygonal Approximation (SAPA), and Peak beat detection methods.
- Analyzed IEGMs from 20 patients across sinus rhythm, atrial fibrillation, and atrial flutter.
- Assessed performance using Compression Ratio (CR) and Percent Root Mean Square Difference (PRD).
Main Results:
- The Peak method demonstrated the best performance, achieving high CRs (e.g., 10.6 for SR) and low PRDs (below 2% for SR and AFL).
- Peak method showed statistically significant improvements over ZOP and SAPA (P<0.001) for most rhythm groups.
- The Peak method requires fewer computational operations, suitable for real-time compression.
Conclusions:
- The Peak method is highly effective for bipolar electrogram compression in implantable devices.
- Efficient compression enhances data storage and enables more detailed cardiac activity analysis.
- This advancement offers new possibilities for arrhythmia diagnosis and therapy.