Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation.

ABSTRACT: Extracellular electrograms recorded during atrial fibrillation (AF) are challenging to interpret due to the inherent beat-to-beat variability in amplitude and duration. Phase mapping represents these voltage signals in terms of relative position within the cycle, and has been widely applied to action potential and unipolar electrogram data of myocardial fibrillation. To date, however, it has not been applied to bipolar recordings, which are commonly acquired clinically. The purpose of this study is to present a novel algorithm for calculating phase from both unipolar and bipolar electrograms recorded during AF. A sequence of signal filters and processing steps are used to calculate phase from simulated, experimental, and clinical, unipolar and bipolar electrograms. The algorithm is validat

SUBMITTER: Roney CH 

PROVIDER: S-EPMC5362653 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature