Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is a prognostic marker for stroke, heart failure, and even death [1]. There is now a general consensus that rotors, i.e., stable electrical sources of cardiac excitation, can cause AF [2]. The pivot points (or cores) of the rotors are believed to be good ablation targets to terminate AF in patients. About 77.8% success rate was demonstrated by ablation of such sites with the CONFIRM trial in paroxysmal, persistent, and long-standing AF patients [3]. Current mapping methods used for guiding catheter ablation such as local activation time map, complex fractionated atrial electrograms mean index map, dominant frequency (DF), phase singularity, and wave block analysis provide information about the spatiotemporal organization of AF, however, they suffer numerous limitations to accurately identify the rotor pivot points due to various noises, misleading phase, and activation times...
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June 2016
Special Section Technical Briefs
Novel Multiscale Frequency Approach to Identify the Pivot Point of the Rotor1
Shivaram Poigai Arunachalam,
Shivaram Poigai Arunachalam
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
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Elizabeth M. Annoni,
Elizabeth M. Annoni
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
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Siva K. Mulpuru,
Siva K. Mulpuru
Division of Cardiovascular Diseases,
Mayo Clinic,
Rochester, MN 55902
Mayo Clinic,
Rochester, MN 55902
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Paul A. Friedman,
Paul A. Friedman
Division of Cardiovascular Diseases,
Mayo Clinic,
Rochester, MN 55902
Mayo Clinic,
Rochester, MN 55902
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Elena G. Tolkacheva
Elena G. Tolkacheva
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
Search for other works by this author on:
Shivaram Poigai Arunachalam
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
Elizabeth M. Annoni
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
Siva K. Mulpuru
Division of Cardiovascular Diseases,
Mayo Clinic,
Rochester, MN 55902
Mayo Clinic,
Rochester, MN 55902
Paul A. Friedman
Division of Cardiovascular Diseases,
Mayo Clinic,
Rochester, MN 55902
Mayo Clinic,
Rochester, MN 55902
Elena G. Tolkacheva
Department of Biomedical Engineering,
University of Minnesota,
Minneapolis, MN 55455
University of Minnesota,
Minneapolis, MN 55455
DOI: 10.1115/1.4033148
Manuscript received March 1, 2016; final manuscript received March 16, 2016; published online May 12, 2016. Editor: William Durfee.
J. Med. Devices. Jun 2016, 10(2): 020948 (2 pages)
Published Online: May 12, 2016
Article history
Received:
March 1, 2016
Revised:
March 16, 2016
Citation
Arunachalam, S. P., Annoni, E. M., Mulpuru, S. K., Friedman, P. A., and Tolkacheva, E. G. (May 12, 2016). "Novel Multiscale Frequency Approach to Identify the Pivot Point of the Rotor." ASME. J. Med. Devices. June 2016; 10(2): 020948. https://doi.org/10.1115/1.4033148
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