Conference proceeding
Spiral Wave Classification Using Normalized Compression Distance: Towards Atrial Tissue Spatiotemporal Electrophysiological Behavior Characterization
2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2015-, pp 4503-4506
01 Jan 2015
PMID: 26737295
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Analysis of electrical activation patterns such as re-entries during atrial fibrillation (Afib) is crucial in understanding arrhythmic mechanisms and assessment of diagnostic measures. Spiral waves are a phenomena that provide intuitive basis for re-entries occurring in cardiac tissue. Distinct spiral wave behaviors such as stable spiral waves, meandering spiral waves, and spiral wave break-up may have distinct electrogram manifestations on a mapping catheter. Hence, it is desirable to have an automated classification of spiral wave behavior based on catheter recordings for a qualitative characterization of spatiotemporal electrophysiological activity on atrial tissue. In this study, we propose a method for classification of spatiotemporal characteristics of simulated atrial activation patterns in terms of distinct spiral wave behaviors during Afib using two different techniques: normalized compressed distance (NCD) and normalized FFT (NFFTD). We use a phenomenological model for cardiac electrical propagation to produce various simulated spiral wave behaviors on a 2D grid and labeled them as stable, meandering, or breakup. By mimicking commonly used catheter types, a star shaped and a circular shaped both of which do the local readings from atrial wall, monopolar and bipolar intracardiac electrograms are simulated. Virtual catheters are positioned at different locations on the grid. The classification performance for different catheter locations, types and for monopolar or bipolar readings were also compared. We observed that the performance for each case differed slightly. However, we found that NCD performance is superior to NFFTD. Through the simulation study, we showed the theoretical validation of the proposed method. Our findings suggest that a qualitative wavefront activation pattern can be assessed during Afib without the need for highly invasive mapping techniques such as multisite simultaneous electrogram recordings.
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Details
- Title
- Spiral Wave Classification Using Normalized Compression Distance: Towards Atrial Tissue Spatiotemporal Electrophysiological Behavior Characterization
- Creators
- Celal Alagoz - Drexel UniversityAllon Guez - Drexel UniversityAndrew Cohen - Drexel UniversityJohn R. Bullinga - Electrophysiology Laboratories, Penn Cardiology, Penn Presbyterian Medical Center, Philadelphia, 19104 USAIEEE
- Publication Details
- 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), v 2015-, pp 4503-4506
- Series
- IEEE Engineering in Medicine and Biology Society Conference Proceedings
- Publisher
- IEEE
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000371717204194
- Scopus ID
- 2-s2.0-84953324307
- Other Identifier
- 991019168773404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Engineering, Electrical & Electronic