Measuring Electromechanical Coupling in Patients with Coronary Artery Disease and Healthy Subjects
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Changchun Liu | Jing Yang | Peng Li | Chengyu Liu | Xinpei Wang | Lizhen Ji | J. Yang | Chengyu Liu | Changchun Liu | Xinpei Wang | Lizhen Ji | Peng Li
[1] Xin Chen,et al. Cross-fuzzy entropy: A new method to test pattern synchrony of bivariate time series , 2010, Inf. Sci..
[2] Jan-Yow Chen,et al. Green tea extract given before regional myocardial ischemia–reperfusion in rats improves myocardial contractility by attenuating calcium overload , 2010, Pflügers Archiv - European Journal of Physiology.
[3] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[4] Rassoul Amirfattahi,et al. Noninvasive detection and classification of coronary artery occlusions using wavelet analysis of heart sounds with neural networks , 2005 .
[5] Xin Sun,et al. Age related changes in variability of short-term heart rate and diastolic period , 2013, Computing in Cardiology 2013.
[6] Weiting Chen,et al. Measuring complexity using FuzzyEn, ApEn, and SampEn. , 2009, Medical engineering & physics.
[7] Changchun Liu,et al. Analysing effect of heart rate and age on radial artery pressure derived systolic and diastolic durations in healthy adults , 2015, 2015 Computing in Cardiology Conference (CinC).
[8] Andrzej Cichocki,et al. A comparative study of synchrony measures for the early diagnosis of Alzheimer's disease based on EEG , 2010, NeuroImage.
[9] J. Riba,et al. Cross-conditional entropy and coherence analysis of pharmaco-EEG changes induced by alprazolam , 2011, Psychopharmacology.
[10] J. Thayer,et al. The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. , 2010, International journal of cardiology.
[11] U. Rajendra Acharya,et al. Linear and nonlinear analysis of normal and CAD-affected heart rate signals , 2014, Comput. Methods Programs Biomed..
[12] T A Johnson,et al. Electrophysiologic Changes in Ischemic Ventricular Myocardium: I. Influence of Ionic, Metabolic, and Energetic Changes , 1995, Journal of cardiovascular electrophysiology.
[13] Pavel Jurák,et al. Comparing the relationship between QT/RR slope and basal QTc in LQT1 patients and healthy subjects , 2013, Computing in Cardiology 2013.
[14] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[15] U. Rajendra Acharya,et al. Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals , 2015, Knowl. Based Syst..
[16] Ute Feldmann,et al. Predictability Improvement as an Asymmetrical Measure of Interdependence in bivariate Time Series , 2004, Int. J. Bifurc. Chaos.
[17] R Quian Quiroga,et al. Event synchronization: a simple and fast method to measure synchronicity and time delay patterns. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.
[18] A A Shoukas,et al. Interaction of Canine Carotid Sinus and Aortic Arch Baroreflexes in the Control of Total Peripheral Resistance , 1984, Circulation research.
[19] Chengyu Liu,et al. Cross-Sample Entropy and Cross-Fuzzy Entropy for Testing Pattern Synchrony: How Results Vary with Different Threshold Value r , 2013 .
[20] J. Kurths,et al. Cardiovascular regulation during sleep quantified by symbolic coupling traces , 2010, 2011 Computing in Cardiology.
[21] Chengyu Liu,et al. Testing pattern synchronization in coupled systems through different entropy-based measures , 2013, Medical & biological engineering & computing.
[22] Zhidong Zhao,et al. An Intelligent System for Noninvasive Diagnosis of Coronary Artery Disease with EMD-TEO and BP Neural Network , 2008, 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing.
[23] Salvador Carrasco-Sosa,et al. Variability of left ventricular ejection and diastolic times obtained from impedance cardiography: A comparison with heart rate variability , 2013, Computing in Cardiology 2013.
[24] J. Fermaglich. Electric Fields of the Brain: The Neurophysics of EEG , 1982 .
[25] Giuseppe Baselli,et al. Conditional entropy approach for the evaluation of the coupling strength , 1999, Biological Cybernetics.
[26] Changchun Liu,et al. Coupling between short-term heart rate and diastolic period is reduced in heart failure patients as indicated by multivariate entropy analysis , 2014, Computing in Cardiology 2014.
[27] Oguz Findik,et al. Effects of principle component analysis on assessment of coronary artery diseases using support vector machine , 2010, Expert Syst. Appl..
[28] C. Peng,et al. Fractal analysis of heart rate dynamics as a predictor of mortality in patients with depressed left ventricular function after acute myocardial infarction. TRACE Investigators. TRAndolapril Cardiac Evaluation. , 1999, The American journal of cardiology.
[29] Hagen Malberg,et al. Effect of CPAP therapy on daytime cardiovascular regulations in patients with obstructive sleep apnea , 2012, Comput. Biol. Medicine.
[30] Lotfi Senhadji,et al. Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] R. Carney,et al. Association of depression with reduced heart rate variability in coronary artery disease. , 1995, The American journal of cardiology.
[32] Patrick Martin,et al. Use of ECG Restitution (Beat‐to‐Beat QT‐TQ Interval Analysis) to Assess Arrhythmogenic Risk of QTc Prolongation with Guanfacine , 2014, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[33] M. Breakspear. "Dynamic" connectivity in neural systems: theoretical and empirical considerations. , 2004, Neuroinformatics.
[34] Sante D Pierdomenico. Left-ventricular hypertrophy and coronary artery disease. , 2007, American journal of hypertension.
[35] Chengyu Liu,et al. Systolic and Diastolic Time Interval Variability Analysis and Their Relations with Heart Rate Variability , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.
[36] Tao Zhang,et al. Cross‐sample entropy statistic as a measure of complexity and regularity of renal sympathetic nerve activity in the rat , 2007, Experimental physiology.
[37] Dingchang Zheng,et al. Detection of Coupling in Short Physiological Series by a Joint Distribution Entropy Method , 2016, IEEE Transactions on Biomedical Engineering.
[38] Milan Palus,et al. Direction of coupling from phases of interacting oscillators: an information-theoretic approach. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[39] C P Herbst,et al. Evaluation of left ventricular contractility indexes for the detection of symptomatic and silent myocardial ischemia. , 1988, The American journal of cardiology.
[40] Keun Ho Ryu,et al. Mining Biosignal Data: Coronary Artery Disease Diagnosis Using Linear and Nonlinear Features of HRV , 2007, PAKDD Workshops.
[41] U. Rajendra Acharya,et al. Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform , 2013, Knowl. Based Syst..
[42] Oguz Findik,et al. A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine , 2010, Expert Syst. Appl..
[43] Sumeet Dua,et al. NOVEL CLASSIFICATION OF CORONARY ARTERY DISEASE USING HEART RATE VARIABILITY ANALYSIS , 2012 .
[44] M. Kuehl,et al. Cardiovascular autonomic neuropathies as complications of diabetes mellitus , 2012, Nature Reviews Endocrinology.
[45] Klaus Lehnertz,et al. Measuring synchronization in coupled model systems: A comparison of different approaches , 2007 .
[46] Dingchang Zheng,et al. A Combination Method of Improved Impulse Rejection Filter and Template Matching for Identification of Anomalous Intervals in RR Sequences , 2012 .
[47] J. Pernier,et al. Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human , 1996, The Journal of Neuroscience.
[48] S. Betocchi,et al. Systolic and diastolic time intervals during spontaneous angina , 1984, Clinical cardiology.
[49] Hong-Bo Xie,et al. A comparative study of pattern synchronization detection between neural signals using different cross-entropy measures , 2010, Biological Cybernetics.
[50] O. Dekkers,et al. Heart rate variability and first cardiovascular event in populations without known cardiovascular disease: meta-analysis and dose-response meta-regression. , 2013, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.
[51] Niels Wessel,et al. Detection of time-delayed interactions in biosignals using symbolic coupling traces , 2009 .
[52] P. Grossman,et al. Toward understanding respiratory sinus arrhythmia: Relations to cardiac vagal tone, evolution and biobehavioral functions , 2007, Biological Psychology.
[53] R. Cohen,et al. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. , 1981, Science.
[54] Hsien-Tsai Wu,et al. Multiscale Cross-Approximate Entropy Analysis as a Measure of Complexity among the Aged and Diabetic , 2013, Comput. Math. Methods Medicine.
[55] Piotr J. Franaszczuk,et al. An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals , 1999, Biological Cybernetics.
[56] J. Ghali,et al. The Prognostic Role of Left Ventricular Hypertrophy in Patients with or without Coronary Artery Disease , 1992, Annals of Internal Medicine.
[57] Hong-Bo Xie,et al. Measuring time series regularity using nonlinear similarity-based sample entropy , 2008 .
[58] Li Zhang,et al. Measuring synchronization in coupled simulation and coupled cardiovascular time series: A comparison of different cross entropy measures , 2015, Biomed. Signal Process. Control..
[59] Nenad Sarapa,et al. Analyses of Dynamic Beat‐to‐Beat QT–TQ Interval (ECG Restitution) Changes in Humans under Normal Sinus Rhythm and Prior to an Event of Torsades de Pointes during QT Prolongation Caused by Sotalol , 2007, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[60] Dingchang Zheng,et al. A low-complexity data-adaptive approach for premature ventricular contraction recognition , 2014, Signal Image Video Process..
[61] Marimuthu Palaniswami,et al. Analyzing Systolic-Diastolic Interval Interaction Characteristics in Diabetic Cardiac Autonomic Neuropathy Progression , 2015, IEEE Journal of Translational Engineering in Health and Medicine.
[62] J. Rumberger,et al. Serial changes in left and right ventricular systolic and diastolic dynamics during the first year after an index left ventricular Q wave myocardial infarction. , 1995, Journal of the American College of Cardiology.
[63] A. Kadish,et al. Dissociation of heart rate variability from parasympathetic tone. , 1994, The American journal of physiology.
[64] Niels Wessel,et al. Classification of cardiovascular time series based on different coupling structures using recurrence networks analysis , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[65] Xinpei Wang,et al. Analysis of short-term heart rate and diastolic period variability using a refined fuzzy entropy method , 2015, Biomedical engineering online.