Alteration of the P-wave non-linear dynamics near the onset of paroxysmal atrial fibrillation.
暂无分享,去创建一个
Raúl Alcaraz | Daniel Abásolo | José J Rieta | J. J. Rieta | R. Alcaraz | D. Abásolo | Arturo Martínez | Arturo Martínez | Arturo Martinez
[1] M. Ezekowitz,et al. Practice Guidelines College of Cardiology Foundation/American Heart Association Task Force on Atrial Fibrillation (Updating the 2006 Guideline): A Report of the American 2011 ACCF/AHA/HRS Focused Update on the Management of Patients With , 2011 .
[2] Hassan Ghassemian,et al. Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal , 2012, Comput. Methods Programs Biomed..
[3] R. A. Thuraisingham,et al. A Classification System to Detect Congestive Heart Failure Using Second-Order Difference Plot of RR Intervals , 2010, Cardiology research and practice.
[4] Giovanni Calcagnini,et al. On the resolution of ECG acquisition systems for the reliable analysis of the P-wave , 2012, Physiological measurement.
[5] A. Garfinkel,et al. Mechanisms of Discordant Alternans and Induction of Reentry in Simulated Cardiac Tissue , 2000, Circulation.
[6] P. Platonov,et al. P‐Wave Morphology: Underlying Mechanisms and Clinical Implications , 2012, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[7] Trine Krogh-Madsen,et al. Nonlinear dynamics in cardiology. , 2012, Annual review of biomedical engineering.
[8] Z. Qu. Chaos in the genesis and maintenance of cardiac arrhythmias. , 2011, Progress in biophysics and molecular biology.
[9] Raúl Alcaraz,et al. Application of the phasor transform for automatic delineation of single-lead ECG fiducial points , 2010, Physiological measurement.
[10] Dilbag Singh,et al. K-nearest neighbour-based algorithm for P- and T-waves detection and delineation , 2014, Journal of medical engineering & technology.
[11] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[12] Yukio Ozawa,et al. Signal‐Averaged P‐Wave Analysis of Normal Controls and Patients with Paroxysmal Atrial Fibrillation: A Study in Gender Differences, Age Dependence, and Reproducibility , 2002, Clinical cardiology.
[13] J. Victor Marcos,et al. Linear and nonlinear analysis of airflow recordings to help in sleep apnoea–hypopnoea syndrome diagnosis , 2012, Physiological measurement.
[14] J. Gialafos,et al. P‐Wave Dispersion: A Novel Predictor of Paroxysmal Atrial Fibrillation , 2001, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[15] L. Clavier,et al. Automatic P-wave analysis of patients prone to atrial fibrillation , 2006, Medical and Biological Engineering and Computing.
[16] J. J. Rieta,et al. A novel application of sample entropy to the electrocardiogram of atrial fibrillation , 2010 .
[17] Raúl Alcaraz,et al. Non-invasive organization variation assessment in the onset and termination of paroxysmal atrial fibrillation , 2009, Comput. Methods Programs Biomed..
[18] Robert F. Gilmour,et al. Nonlinear dynamics of heart rhythm disorders , 2007 .
[19] Gregory Y H Lip,et al. Quality of life in patients with atrial fibrillation: a systematic review. , 2006, The American journal of medicine.
[20] S. Swiryn,et al. Predicting the onset of paroxysmal atrial fibrillation: the Computers in Cardiology Challenge 2001 , 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).
[21] Dong-Gu Shin,et al. Prediction of paroxysmal atrial fibrillation using nonlinear analysis of the R-R interval dynamics before the spontaneous onset of atrial fibrillation. , 2006, Circulation journal : official journal of the Japanese Circulation Society.
[22] Raul Alcaraz,et al. Morphological variability of the P-wave for premature envision of paroxysmal atrial fibrillation events , 2014, Physiological measurement.
[23] Raúl Alcaraz,et al. Study on the P-wave feature time course as early predictors of paroxysmal atrial fibrillation , 2012, Physiological measurement.
[24] Raúl Alcaraz,et al. A non-invasive method to predict electrical cardioversion outcome of persistent atrial fibrillation , 2008, Medical & Biological Engineering & Computing.
[25] James McNames,et al. Prediction of paroxysmal atrial fibrillation by analysis of atrial premature complexes , 2004, IEEE Transactions on Biomedical Engineering.
[26] Yuriy V. Chesnokov,et al. Complexity and spectral analysis of the heart rate variability dynamics for distant prediction of paroxysmal atrial fibrillation with artificial intelligence methods , 2008, Artif. Intell. Medicine.
[27] D. L. Hudson,et al. Applying continuous chaotic modeling to cardiac signal analysis , 1996 .
[28] A. Camm,et al. Classification of Atrial Fibrillation , 1997, The American journal of cardiology.
[29] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[30] Simon Stewart,et al. A population-based study of the long-term risks associated with atrial fibrillation: 20-year follow-up of the Renfrew/Paisley study. , 2002, The American journal of medicine.
[31] Roberto Hornero,et al. Optimal parameters study for sample entropy-based atrial fibrillation organization analysis , 2010, Comput. Methods Programs Biomed..
[32] Robby Nieuwlaat,et al. Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis. , 2010, Journal of the American College of Cardiology.
[33] Mohammad R. Homaeinezhad,et al. A correlation analysis-based detection and delineation of ECG characteristic events using template waveforms extracted by ensemble averaging of clustered heart cycles , 2014, Comput. Biol. Medicine.
[34] D. DeMets,et al. Management of patients with atrial fibrillation (compilation of 2006 ACCF/AHA/ESC and 2011 ACCF/AHA/HRS recommendations): a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. , 2013, Circulation.
[35] H. Huikuri,et al. Altered complexity and correlation properties of R-R interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation. , 1999, Circulation.