Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform

Pawel Kuklik*, Stef Zeemering, Bart Maesen, Jos Maessen, Harry J. Crijns, Sander Verheule, Anand N. Ganesan, Ulrich Schotten

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

87 Citations (Web of Science)


The Hilbert transform has been used to characterize wave propagation and detect phase singularities during cardiac fibrillation. Two mapping modalities have been used: optical mapping (used to map atria and ventricles) and contact electrode mapping (used only to map ventricles). Due to specific morphology of atrial electrograms, phase reconstruction of contact electrograms in the atria is challenging and has not been investigated in detail. Here, we explore the properties of Hilbert transform applied to unipolar epicardial electrograms and devise a method for robust phase reconstruction using the Hilbert transform. We applied the Hilbert transform to idealized unipolar signals obtained from analytical approach and to electrograms recorded in humans. We investigated effects of deflection morphology on instantaneous phase. Application of the Hilbert transform to unipolar electrograms demonstrated sensitivity of reconstructed phase to the type of deflection morphology (uni- or biphasic), the ratio of R and S waves and presence of the noise. In order to perform a robust phase reconstruction, we propose a signal transformation based on the recomposition of the electrogram from sinusoidal wavelets with amplitudes proportional to the negative slope of the electrogram. Application of the sinusoidal recomposition transformation prior to application of the Hilbert transform alleviates the effect of confounding features on reconstructed phase.
Original languageEnglish
Pages (from-to)296-302
JournalIeee Transactions on Biomedical Engineering
Issue number1
Publication statusPublished - Jan 2015


  • Biomedical signal processing
  • cardiology
  • fibrillation
  • phase estimation

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