Search Results - Robust electrogram estimation

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  1. 1

    Performance assessment of electrode configurations for the estimation of omnipolar electrograms from high density arrays by Castells, Francisco, Ruipérez-Campillo, Samuel, Segarra, Izan, Cervigón, Raquel, Casado-Arroyo, Rubén, Merino, José Luis, Millet, José

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Published: United States Elsevier Ltd 01.03.2023
    Published in Computers in biology and medicine (01.03.2023)
    “…The aim of this study is to propose a method to reduce the sensitivity of the estimated omnipolar electrogram (oEGM…”
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    Journal Article
  2. 2

    Reconstruction of Instantaneous Phase of Unipolar Atrial Contact Electrogram Using a Concept of Sinusoidal Recomposition and Hilbert Transform by Kuklik, Pawel, Zeemering, Stef, Maesen, Bart, Maessen, Jos, Crijns, Harry J., Verheule, Sander, Ganesan, Anand N., Schotten, Ulrich

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.01.2015
    “… 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…”
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  3. 3

    Personalized Models of Human Atrial Electrophysiology Derived From Endocardial Electrograms by Corrado, Cesare, Whitaker, John, Chubb, Henry, Williams, Steven, Wright, Matthew, Gill, Jaswinder, O'Neill, Mark D., Niederer, Steven A.

    ISSN: 0018-9294, 1558-2531
    Published: United States IEEE 01.04.2017
    “…Objective : Computational models represent a novel framework for understanding the mechanisms behind atrial fibrillation (AF) and offer a pathway for…”
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    Journal Article
  4. 4

    Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation by Osorio, Diego, Vraka, Aikaterini, Moreno-Arribas, José, Bertomeu-González, Vicente, Alcaraz, Raúl, Rieta, José J.

    ISSN: 2075-4426, 2075-4426
    Published: Basel MDPI AG 13.10.2022
    Published in Journal of personalized medicine (13.10.2022)
    “…Atrial cycle length (CL) is an important feature for the analysis of electrogram (EGM…”
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    Journal Article
  5. 5

    Comparative Evaluation of Methodologies for T-Wave Alternans Mapping in Electrograms by Orini, Michele, Hanson, Ben, Monasterio, Violeta, Martinez, Juan Pablo, Hayward, Martin, Taggart, Peter, Lambiase, Pier

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.02.2014
    “…Electrograms (EGM) recorded from the surface of the myocardium are becoming more and more accessible. T-wave alternans (TWA…”
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  6. 6

    An Uncertainty Modeling Framework for Intracardiac Electrogram Analysis by Koneshloo, Amirhossein, Du, Dongping, Du, Yuncheng

    ISSN: 2306-5354, 2306-5354
    Published: Switzerland MDPI AG 26.06.2020
    Published in Bioengineering (Basel) (26.06.2020)
    “…Intracardiac electrograms (EGMs) are electrical signals measured within the chambers of the heart, which can be used to locate abnormal cardiac tissue and guide catheter ablations to treat cardiac arrhythmias…”
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    Journal Article
  7. 7

    Iterative Method to Detect Atrial Activations and Measure Cycle Length From Electrograms During Atrial Fibrillation by Ng, Jason, Sehgal, Vinod, Ng, Justin K., Gordon, David, Goldberger, Jeffrey J.

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: United States IEEE 01.02.2014
    “…Atrial fibrillation (AF) electrograms are characterized by varying morphologies, amplitudes, and cycle lengths (CLs…”
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    Journal Article
  8. 8

    Mapping the Organization of Atrial Fibrillation with Basket Catheters Part I: Validation of a Real-Time Algorithm by BARBARO, VINCENZO, BARTOLINI, PIETRO, CALCAGNINI, GIOVANNI, CENSI, FEDERICA, MORELLI, SANDRA, MICHELUCCI, ANTONIO

    ISSN: 0147-8389, 1540-8159
    Published: Oxford, UK Blackwell Futura Publishing, Inc 01.07.2001
    Published in Pacing and clinical electrophysiology (01.07.2001)
    “… The algorithm is based on a fast method to estimate the number of points along the baseline of a single bipolar electrogram…”
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    Journal Article
  9. 9

    Fundamental Frequency and Regularity of Cardiac Electrograms With Fourier Organization Analysis by Barquero-Pérez, Óscar, Rojo-Álvarez, José Luis, Caamaño, Antonio J., Goya-Esteban, Rebeca, Everss, Estrella, Alonso-Atienza, Felipe, Sánchez-Muñoz, Juan José, García-Alberola, Arcadi

    ISSN: 0018-9294, 1558-2531, 1558-2531
    Published: New York, NY IEEE 01.09.2010
    “…Dominant frequency analysis (DFA) and organization analysis (OA) of cardiac electrograms (EGMs…”
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    Journal Article
  10. 10

    Classification of intracavitary electrograms in atrial fibrillation using information and complexity measures by Nicolet, Jonathan J.C., Restrepo, Juan F., Schlotthauer, Gastón

    ISSN: 1746-8094, 1746-8108
    Published: Elsevier Ltd 01.03.2020
    Published in Biomedical signal processing and control (01.03.2020)
    “…•Our selected features in AEGMs characterization are robust to the used classifier…”
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    Journal Article
  11. 11

    Deconvolution and wavelet-based methods for membrane current estimation from simulated fractionated electrograms by Chouvarda, I., Maglaveras, N., de Bakker, J.M.T., van Capelle, F.J.L., Pappas, C.

    ISSN: 0018-9294, 1558-2531
    Published: New York, NY IEEE 01.03.2001
    “… The input is an array of electrograms positioned on grid-points of a rectangular grid and the output is an array of estimates of the membrane current…”
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    Journal Article
  12. 12

    Circle Method for Robust Estimation of Local Conduction Velocity High-Density Maps From Optical Mapping Data: Characterization of Radiofrequency Ablation Sites by Siles-Paredes, Jimena G., Crowley, Christopher J., Fenton, Flavio H., Bhatia, Neal, Iravanian, Shahriar, Sandoval, Italo, Pollnow, Stefan, Dössel, Olaf, Salinet, João, Uzelac, Ilija

    ISSN: 1664-042X, 1664-042X
    Published: Frontiers Media S.A 12.08.2022
    Published in Frontiers in physiology (12.08.2022)
    “… The morphology and amplitude of bipolar electrograms depend on the direction of propagating electrical wavefront, making identification of low-amplitude signal sources commonly associated with fibrotic area difficulty…”
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    Journal Article
  13. 13

    Inflection point analysis: A machine learning approach for extraction of IEGM active intervals during atrial fibrillation by Hajimolahoseini, Habib, Hashemi, Javad, Gazor, Saeed, Redfearn, Damian

    ISSN: 0933-3657, 1873-2860, 1873-2860
    Published: Netherlands Elsevier B.V 01.04.2018
    Published in Artificial intelligence in medicine (01.04.2018)
    “… In this paper, we propose a novel algorithm to extract the active intervals of intracardiac electrograms during atrial fibrillation…”
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    Journal Article
  14. 14

    Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation by Prudat, Yann, Luca, Adrian, Yazdani, Sasan, Derval, Nicolas, Jaïs, Pierre, Roten, Laurent, Berte, Benjamin, Pruvot, Etienne, Vesin, Jean-Marc, Pascale, Patrizio

    ISSN: 1472-6947, 1472-6947
    Published: London BioMed Central 28.08.2022
    “…Background and objective The automated detection of atrial activations (AAs) recorded from intracardiac electrograms (IEGMs…”
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    Journal Article
  15. 15

    Technical Considerations for Dominant Frequency Analysis by NG, JASON, KADISH, ALAN H., GOLDBERGER, JEFFREY J.

    ISSN: 1045-3873, 1540-8167, 1540-8167
    Published: Malden, USA Blackwell Publishing Inc 01.07.2007
    “…Introduction: Dominant frequency (DF) analysis of atrial electrograms has been used to characterize atrial fibrillation (AF…”
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  16. 16

    Analysis of the robustness of spectral indices during ventricular fibrillation by Requena-Carrión, Jesús, Alonso-Atienza, Felipe, Everss, Estrella, Sánchez-Muñoz, Juan José, Ortiz, Mercedes, García-Alberola, Arcadi, Rojo-Álvarez, José Luis

    ISSN: 1746-8094
    Published: Elsevier Ltd 01.11.2013
    Published in Biomedical signal processing and control (01.11.2013)
    “…•The dominant frequency is a robust spectral index.•Indices depending on the spectral envelope of cardiac signals are non-robust…”
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    Journal Article
  17. 17

    Optimizing Multiscale Entropy Approach for Rotor Core Identification using Simulated Intracardiac Electrograms by Ravikumar, Vasanth, Tolkacheva, Elena G.

    ISSN: 2694-0604, 1558-4615, 2694-0604
    Published: IEEE 01.07.2020
    “… Rotors are believed to maintain AF and core of rotors are considered to be robust targets for ablation…”
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    Conference Proceeding Journal Article
  18. 18

    Robust adaptive parameter estimators in arrhythmia detection by Clarkson, P M, Fan, Q, Williamson, G A, Arzbaecher, R

    ISSN: 0022-0736
    Published: United States 1992
    Published in Journal of electrocardiology (1992)
    “…The authors consider the statistical analysis of threshold crossing intervals, as applied to estimation of tachycardia rates from intracavitary electrograms…”
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    Journal Article
  19. 19

    Detecting activations in unipolar epicardial electrograms recorded during ventricular fibrillation by Blanchard, S.M., Tohmaz, A.S., Cervino, D.J., Pool, T.S., Clark, B.P., Johnson, E.E., Ideker, R.E.

    ISBN: 9780780330535, 0780330536
    Published: IEEE 1995
    Published in 1995 Computers in Cardiology (1995)
    “…Detecting activations (ACTs) from unipolar electrograms (UEGs) is difficult during ventricular fibrillation (VF…”
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    Conference Proceeding
  20. 20

    Effects of Prior Data on the Inference and Filtering Based Electrocardiographic Imaging by Erenler, Taha, Dogrusoz, Yesim Serinagaoglu

    ISSN: 2325-887X
    Published: Creative Commons 01.09.2019
    Published in Computing in cardiology (01.09.2019)
    “…Statistical estimation techniques with "good" prior information improves the accuracy of electrocardiographic imaging (ECGI…”
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    Conference Proceeding