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

Content Provider	IEEE Xplore Digital Library
Author	Kuklik, P. Zeemering, S. Maesen, B. Maessen, J. Crijns, H.J. Verheule, S. Ganesan, A.N. Schotten, U.
Copyright Year	1964
Abstract	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.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Starting Page	296
Ending Page	302
Page Count	7
File Size	696088
File Format	PDF
ISSN	00189294
Volume Number	62
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Morphology Transforms Timing Electronic mail Noise Materials Educational institutions phase estimation Biomedical signal processing cardiology fibrillation
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Iterative Method to Detect Atrial Activations and Measure Cycle Length From Electrograms During Atrial Fibrillation

Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction

Waveform Characterization of Atrial Fibrillation Using Phase Information

A study of the effects in signal reconstruction from degraded Fourier transform phase

Novel approach to search for individual signal complexes in complex fractionated atrial electrograms using wavelet transform

Usefulness of filtered unipolar electrogram morphology for evaluating transmurality of ablated lesions during pulmonary vein isolation

Feature extraction of the atrial fibrillation signal using the continuous wavelet transform

Instantaneous pitch estimation based on empirical wavelet transform

Comparison of spontaneous atrial fibrillation electrogram potentials with the P-wave electrogram amplitude in dual chamber pacing with unipolar atrial sensing

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

Similar Documents

Iterative Method to Detect Atrial Activations and Measure Cycle Length From Electrograms During Atrial Fibrillation

Automated quantification of atrial fibrillation complexity by probabilistic electrogram analysis and fibrillation wave reconstruction

Waveform Characterization of Atrial Fibrillation Using Phase Information

A study of the effects in signal reconstruction from degraded Fourier transform phase

Novel approach to search for individual signal complexes in complex fractionated atrial electrograms using wavelet transform

Usefulness of filtered unipolar electrogram morphology for evaluating transmurality of ablated lesions during pulmonary vein isolation

Feature extraction of the atrial fibrillation signal using the continuous wavelet transform

Instantaneous pitch estimation based on empirical wavelet transform

Comparison of spontaneous atrial fibrillation electrogram potentials with the P-wave electrogram amplitude in dual chamber pacing with unipolar atrial sensing

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