title: Analysis of cardiac fibrillation using phase mapping.
abstract: The sequence of myocardial electrical activation during fibrillation is complex and changes with each cycle. Phase analysis represents the electrical activation-recovery process as an angle. Lines of equal phase converge at a phase singularity at the center of rotation of a reentrant wave, and the identification of reentry and tracking of reentrant wavefronts can be automated. We examine the basic ideas behind phase analysis. With the exciting prospect of using phase analysis of atrial electrograms to guide ablation in the human heart, we highlight several recent developments in preprocessing electrograms so that phase can be estimated reliably.
authors.affiliation: Insigneo Institute for in-silico medicine and Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK. Electronic address: r.h.clayton@sheffield.ac.uk.
authors.forename: Richard H
authors.initials: RH
authors.lastname: Clayton
authors.affiliation: Auckland Bioengineering Institute and Engineering Science, University of Auckland, Uniservices House, Level 7, Room 439-715, 70 Symonds Street, Auckland 1010, New Zealand.
authors.forename: Martyn P
authors.initials: MP
authors.lastname: Nash
mesh_terms: D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D004562:Electrocardiography / Q000379:methods*; D022062:Electrophysiologic Techniques, Cardiac / Q000379:methods*; D006325:Heart Atria / Q000503:physiopathology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted
keywords: Atrial fibrillation; Cardiac arrhythmia; Mapping; Phase analysis; Reentry; Ventricular fibrillation