Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation

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 actio...

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Bibliographic Details
Published in:Annals of biomedical engineering 2017-04, Vol.45 (4), p.910-923
Main Authors: Roney, Caroline H., Cantwell, Chris D., Qureshi, Norman A., Chowdhury, Rasheda A., Dupont, Emmanuel, Lim, Phang Boon, Vigmond, Edward J., Tweedy, Jennifer H., Ng, Fu Siong, Peters, Nicholas S.
Format: Article
Language:English
Subjects:
Action Potentials
Algorithms
Atrial Fibrillation - physiopathology
Biochemistry
Bioengineering
Biological and Medical Physics
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Biophysics
Cardiology and cardiovascular system
Classical Mechanics
Computer simulation
Electrocardiography
Female
Fibrillation
Human health and pathology
Humans
Life Sciences
Male
Mathematical analysis
Recording
Rotors
Signal processing
Signal Processing, Computer-Assisted
Wave fronts
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Summary: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 validated against action potential phase using simulated data (trajectory centre error
ISSN:0090-6964
1573-9686
DOI:10.1007/s10439-016-1766-4