A new LMS algorithm for analysis of atrial fibrillation signals
暂无分享,去创建一个
[1] Angelo B. Biviano,et al. Different characteristics of complex fractionated atrial electrograms in acute paroxysmal versus long-standing persistent atrial fibrillation. , 2010, Heart rhythm.
[2] B. Widrow,et al. Adaptive noise cancelling: Principles and applications , 1975 .
[3] Onkar Dabeer,et al. Analysis of mean-square error and transient speed of the LMS Adaptive algorithm , 2002, IEEE Trans. Inf. Theory.
[4] John J. Shynk,et al. A successive cancellation algorithm for fetal heart-rate estimation using an intrauterine ECG signal , 2002, IEEE Trans. Biomed. Eng..
[5] Bernard Widrow,et al. The "Rubber-Mask" Technique I. Pattern Measurement and Analysis , 1973 .
[6] K. Nademanee,et al. A new approach for catheter ablation of atrial fibrillation: mapping of the electrophysiologic substrate. , 2004, Journal of the American College of Cardiology.
[7] M. Akay,et al. Biosignal pattern recognition and interpretation systems. 3. Methods of classification , 1994, IEEE Engineering in Medicine and Biology Magazine.
[8] Luca Faes,et al. A method for quantifying atrial fibrillation organization based on wave-morphology similarity , 2002, IEEE Transactions on Biomedical Engineering.
[9] Bernard Widrow,et al. The "rubber-mask" technique-II. Pattern storage and recognition , 1973, Pattern Recognit..
[10] A. A. Goldstein,et al. SENSOP: A derivative-free solver for nonlinear least squares with sensitivity scaling , 1993, Annals of Biomedical Engineering.
[11] G. De Soete,et al. Clustering and Classification , 2019, Data-Driven Science and Engineering.
[12] Robert Plonsey,et al. Bioelectricity: A Quantitative Approach Duke University’s First MOOC , 2013 .
[13] E. Micheli-Tzanakou,et al. The use of the differential steepest descent algorithm for adaptive template matching , 1992, Proceedings of the 1992 International Biomedical Engineering Days.
[14] L. Faes,et al. Principal component analysis and cluster analysis for measuring the local organisation of human atrial fibrillation , 2001, Medical and Biological Engineering and Computing.
[15] Edward J. Ciaccio,et al. Tonometric Arterial Pulse Sensor With Noise Cancellation , 2008, IEEE Transactions on Biomedical Engineering.
[16] Bernard Widrow,et al. A comparison of adaptive algorithms based on the methods of steepest descent and random search , 1976 .
[17] C. Caraiscos,et al. A roundoff error analysis of the LMS adaptive algorithm , 1984 .
[18] K. Egiazarian,et al. A transform domain LMS adaptive filter with variable step-size , 2002, IEEE Signal Processing Letters.
[19] E. Micheli-Tzanakou,et al. Characterization of spontaneous changes in electrogram morphology , 1994, Computers in Cardiology 1994.
[20] B. Widrow,et al. A variable leaky LMS adaptive algorithm , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..
[21] M. Akay,et al. Biosignal pattern recognition and interpretation systems , 1993, IEEE Engineering in Medicine and Biology Magazine.
[22] A. Gray,et al. Unconstrained frequency-domain adaptive filter , 1982 .
[23] P. van Gerwen,et al. Digital echo cancellation for baseband data transmission , 1979 .
[24] Peter J. McLane,et al. A fast adaptive algorithm for MMSE receivers in DS-CDMA systems , 2004, IEEE Signal Processing Letters.
[25] Edward J Ciaccio,et al. Differences in Repeating Patterns of Complex Fractionated Left Atrial Electrograms in Longstanding Persistent Atrial Fibrillation as Compared With Paroxysmal Atrial Fibrillation , 2011, Circulation. Arrhythmia and electrophysiology.
[26] V Barbaro,et al. Mapping the Organization of Atrial Fibrillation with Basket Catheters Part II: Regional Patterns in Chronic Patients , 2001, Pacing and clinical electrophysiology : PACE.
[27] D Durrer,et al. Mechanism and Time Course of S‐T and T‐Q Segment Changes during Acute Regional Myocardial Ischemia in the Pig Heart Determined by Extracellular and Intracellular Recordings , 1978, Circulation research.
[28] Yang-yu Fan,et al. A Variable Step-Size LMS Adaptive Filtering Algorithm , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.
[29] Harald Haas,et al. Asilomar Conference on Signals, Systems, and Computers , 2006 .
[30] Robert Plonsey,et al. Bioelectric Potentials and Currents , 2000 .
[31] Edward J. Ciaccio,et al. Development of Gradient Descent Adaptive Algorithms to Remove Common Mode Artifact for Improvement of Cardiovascular Signal Quality , 2007, Annals of Biomedical Engineering.
[32] R. Merletti,et al. Advances in processing of surface myoelectric signals: Part 2 , 2006, Medical and Biological Engineering and Computing.
[33] Khaled A. Mayyas,et al. Performance analysis of the deficient length LMS adaptive algorithm , 2005, IEEE Transactions on Signal Processing.
[34] V. Barbaro,et al. Mapping the Organization of Atrial Fibrillation with Basket Catheters Part I: Validation of a Real‐Time Algorithm , 2001, Pacing and clinical electrophysiology : PACE.
[35] R. Merletti,et al. Advances in processing of surface myoelectric signals: Part 1 , 1995, Medical and Biological Engineering and Computing.
[36] Bernard Widrow,et al. The "Rubber-Mask" Technique II. Pattern Storage and Recognition , 1973 .
[37] C. Henriquez,et al. Study of Unipolar Electrogram Morphology in a Computer Model of Atrial Fibrillation , 2003, Journal of cardiovascular electrophysiology.
[38] E. Micheli-Tzanakou,et al. A least squares algorithm with one phase weight for adaptive cancelation of noise from biomedical signals , 1992, [1992] Proceedings of the Eighteenth IEEE Annual Northeast Bioengineering Conference.