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Foreword; Preface; Contents; Acronyms; 1 Introduction to Heart Rate Variability; 1.1 Historical Perspective; 1.2 Physiological Basis; 1.2.1 Cardiac Output and Heart Rate; 1.2.2 Autonomous Nervous System; 1.2.3 Autonomous Nervous System and Heart Rate Regulation; 1.2.4 Nonlinear Dynamics of the Heart; 1.3 Clinical Applications; 1.3.1 Monitoring; 1.3.2 Acute Care; 1.3.3 Chronic Disorders; References; 2 Loading, Plotting, and Filtering RR Intervals; 2.1 Getting Started; 2.2 Data File Format; 2.3 Loading Beat Series into RHRV; 2.4 Preprocessing; 2.4.1 Instantaneous Heart Rate Signal Extraction
2.4.2 Removing Artifacts2.4.3 Interpolation of the Heart Rate Signal; 2.5 Preprocessing Beat Data with RHRV; References; 3 Time-Domain Analysis; 3.1 Time-Domain Measures; 3.2 Time-Domain Analysis with RHRV; 3.3 Changes in HRV Time-Based Statistics Under Pathological Conditions; References; 4 Frequency Domain Analysis; 4.1 Frequency Components of the HRV; 4.2 Frequency Analysis Techniques; 4.2.1 Frequency Analysis of Stationary Signals; 4.2.2 Frequency Analysis of Nonstationary Signals; 4.3 Frequency Domain Analysis with RHRV; 4.3.1 Frequency Analysis of Stationary Signals
4.3.2 Frequency Analysis of Nonstationary Signals4.4 Changes in HRV Frequency-Based Statistics Under Pathological Conditions; References; 5 Nonlinear and Fractal Analysis; 5.1 An Overview of Nonlinear Dynamics; 5.2 Chaotic Nonlinear Statistics; 5.2.1 Nonlinearity Tests; 5.2.2 Phase Space Reconstruction; 5.2.3 Correlation Dimension; 5.2.4 Generalized Correlation Dimension and Information Dimension; 5.2.5 Kolmogorov-Sinai Entropy; 5.2.6 Maximal Lyapunov Exponent; 5.2.7 Recurrence Quantification Analysis (RQA); 5.2.8 Poincaré Plot; 5.3 An Overview of Fractal Dynamics
5.3.1 Detrended Fluctuation Analysis5.3.2 Power Spectral Density Analysis; 5.4 Chaotic Nonlinear Analysis with RHRV; 5.4.1 Nonlinearity Tests; 5.4.2 Phase Space Reconstruction; 5.4.3 Nonlinear Statistics Computation; 5.4.4 Generalized Correlation Dimension and Information Dimension; 5.4.5 Sample Entropy; 5.4.6 Maximal Lyapunov Exponent; 5.4.7 RQA; 5.4.8 Poincaré Plot; 5.5 Fractal Analysis with RHRV; 5.5.1 Detrended Fluctuation Analysis; 5.5.2 Power Spectral Analysis; 5.6 Nonlinear and Fractal Analysis of HRV Under Pathological Conditions
5.7 Some Final Remarks Regarding HRV Analysis with Chaotic and Fractal TechniquesReferences; 6 Comparing HRV Variability Across Different Segments of a Recording; 6.1 Episodes and Physiological Events; 6.2 Using Episodes in RHRV; 6.2.1 Managing Episodes in a HR Record; 6.3 Using Episodes in Plots ; 6.4 Making Use of Episodes in HRV Analysis; 6.5 An Example; 6.6 Clinical Applications of HRV Analysis by Episodes; References; 7 Putting It All Together, a Practical Example; 7.1 Problem Statement; 7.2 Methodology; 7.2.1 Database Description; 7.2.2 Applying HRV Analysis; References
2.4.2 Removing Artifacts2.4.3 Interpolation of the Heart Rate Signal; 2.5 Preprocessing Beat Data with RHRV; References; 3 Time-Domain Analysis; 3.1 Time-Domain Measures; 3.2 Time-Domain Analysis with RHRV; 3.3 Changes in HRV Time-Based Statistics Under Pathological Conditions; References; 4 Frequency Domain Analysis; 4.1 Frequency Components of the HRV; 4.2 Frequency Analysis Techniques; 4.2.1 Frequency Analysis of Stationary Signals; 4.2.2 Frequency Analysis of Nonstationary Signals; 4.3 Frequency Domain Analysis with RHRV; 4.3.1 Frequency Analysis of Stationary Signals
4.3.2 Frequency Analysis of Nonstationary Signals4.4 Changes in HRV Frequency-Based Statistics Under Pathological Conditions; References; 5 Nonlinear and Fractal Analysis; 5.1 An Overview of Nonlinear Dynamics; 5.2 Chaotic Nonlinear Statistics; 5.2.1 Nonlinearity Tests; 5.2.2 Phase Space Reconstruction; 5.2.3 Correlation Dimension; 5.2.4 Generalized Correlation Dimension and Information Dimension; 5.2.5 Kolmogorov-Sinai Entropy; 5.2.6 Maximal Lyapunov Exponent; 5.2.7 Recurrence Quantification Analysis (RQA); 5.2.8 Poincaré Plot; 5.3 An Overview of Fractal Dynamics
5.3.1 Detrended Fluctuation Analysis5.3.2 Power Spectral Density Analysis; 5.4 Chaotic Nonlinear Analysis with RHRV; 5.4.1 Nonlinearity Tests; 5.4.2 Phase Space Reconstruction; 5.4.3 Nonlinear Statistics Computation; 5.4.4 Generalized Correlation Dimension and Information Dimension; 5.4.5 Sample Entropy; 5.4.6 Maximal Lyapunov Exponent; 5.4.7 RQA; 5.4.8 Poincaré Plot; 5.5 Fractal Analysis with RHRV; 5.5.1 Detrended Fluctuation Analysis; 5.5.2 Power Spectral Analysis; 5.6 Nonlinear and Fractal Analysis of HRV Under Pathological Conditions
5.7 Some Final Remarks Regarding HRV Analysis with Chaotic and Fractal TechniquesReferences; 6 Comparing HRV Variability Across Different Segments of a Recording; 6.1 Episodes and Physiological Events; 6.2 Using Episodes in RHRV; 6.2.1 Managing Episodes in a HR Record; 6.3 Using Episodes in Plots ; 6.4 Making Use of Episodes in HRV Analysis; 6.5 An Example; 6.6 Clinical Applications of HRV Analysis by Episodes; References; 7 Putting It All Together, a Practical Example; 7.1 Problem Statement; 7.2 Methodology; 7.2.1 Database Description; 7.2.2 Applying HRV Analysis; References