These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 19163052)

  • 21. Event synchronous adaptive filter based atrial activity estimation in single-lead atrial fibrillation electrocardiograms.
    Lee J; Song MH; Shin DG; Lee KJ
    Med Biol Eng Comput; 2012 Aug; 50(8):801-11. PubMed ID: 22718318
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Nonlinear analysis of electrocardiography signals for atrial fibrillation.
    Sezgin N
    ScientificWorldJournal; 2013; 2013():509784. PubMed ID: 23766694
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Atrial Fibrillation Prediction Based on Recurrence Plot and ResNet.
    Zhu H; Jiang N; Xia S; Tong J
    Sensors (Basel); 2024 Aug; 24(15):. PubMed ID: 39124025
    [TBL] [Abstract][Full Text] [Related]  

  • 24. An Extended Bayesian Framework for Atrial and Ventricular Activity Separation in Atrial Fibrillation.
    Roonizi EK; Sassi R
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1573-1580. PubMed ID: 27834661
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An effective feature extraction method based on GDS for atrial fibrillation detection.
    Wang H; Dai H; Zhou Y; Zhou B; Lu P; Zhang H; Wang Z
    J Biomed Inform; 2021 Jul; 119():103819. PubMed ID: 34029749
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Neural network and wavelet average framing percentage energy for atrial fibrillation classification.
    Daqrouq K; Alkhateeb A; Ajour MN; Morfeq A
    Comput Methods Programs Biomed; 2014 Mar; 113(3):919-26. PubMed ID: 24503178
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Exploiting intracardiac and surface recording modalities for atrial signal extraction in atrial fibrillation.
    Garibaldi M; Zarzoso V
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():6015-8. PubMed ID: 24111110
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Detection of Atrial Fibrillation Episodes in Long-Term Heart Rhythm Signals Using a Support Vector Machine.
    Czabanski R; Horoba K; Wrobel J; Matonia A; Martinek R; Kupka T; Jezewski M; Kahankova R; Jezewski J; Leski JM
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 32019220
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal.
    Ebrahimzadeh E; Kalantari M; Joulani M; Shahraki RS; Fayaz F; Ahmadi F
    Comput Methods Programs Biomed; 2018 Oct; 165():53-67. PubMed ID: 30337081
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size.
    Zarzoso V; Comon P
    IEEE Trans Neural Netw; 2010 Feb; 21(2):248-61. PubMed ID: 20028621
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Detection of structural changes in tachogram series for the diagnosis of atrial fibrillation events.
    Ieva F; Paganoni AM; Zanini P
    Comput Math Methods Med; 2013; 2013():373401. PubMed ID: 23690873
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Ranking of the most reliable beat morphology and heart rate variability features for the detection of atrial fibrillation in short single-lead ECG.
    Christov I; Krasteva V; Simova I; Neycheva T; Schmid R
    Physiol Meas; 2018 Sep; 39(9):094005. PubMed ID: 30102603
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Erroneous computer electrocardiogram interpretation of atrial fibrillation and its clinical consequences.
    Hwan Bae M; Hoon Lee J; Heon Yang D; Sik Park H; Cho Y; Chull Chae S; Jun JE
    Clin Cardiol; 2012 Jun; 35(6):348-53. PubMed ID: 22644921
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting.
    Desteghe L; Raymaekers Z; Lutin M; Vijgen J; Dilling-Boer D; Koopman P; Schurmans J; Vanduynhoven P; Dendale P; Heidbuchel H
    Europace; 2017 Jan; 19(1):29-39. PubMed ID: 26893496
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Misdiagnosis of atrial fibrillation and its clinical consequences.
    Bogun F; Anh D; Kalahasty G; Wissner E; Bou Serhal C; Bazzi R; Weaver WD; Schuger C
    Am J Med; 2004 Nov; 117(9):636-42. PubMed ID: 15501200
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation.
    Abächerli R; Leber R; Lemay M; Vesin JM; van Oosterom A; Schmid HJ; Kappenberger L
    J Electrocardiol; 2009; 42(6):517-21. PubMed ID: 19698953
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Comparative assessment of nonlinear metrics to quantify organization-related events in surface electrocardiograms of atrial fibrillation.
    Julián M; Alcaraz R; Rieta JJ
    Comput Biol Med; 2014 May; 48():66-76. PubMed ID: 24642478
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Artificial Intelligence-Based Atrial Fibrillation Recognition Method for Motion Artifact-Contaminated Electrocardiogram Signals Preprocessed by Adaptive Filtering Algorithm.
    Zhang H; Zhao H; Guo Z
    Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931572
    [TBL] [Abstract][Full Text] [Related]  

  • 39. High accuracy in automatic detection of atrial fibrillation for Holter monitoring.
    Jiang K; Huang C; Ye SM; Chen H
    J Zhejiang Univ Sci B; 2012 Sep; 13(9):751-6. PubMed ID: 22949366
    [TBL] [Abstract][Full Text] [Related]  

  • 40. [Study of hybrid time-frequency method and characterization of atrial fibrillation from surface ECG].
    Huang Z; Zhao Y
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2008 Dec; 25(6):1254-9. PubMed ID: 19166187
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.