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Understanding atrial fibrillation, the signal processing contribution. Part II

The book presents recent advances in signal processing techniques for modeling, analysis, and understanding of the heart's electrical activity during atrial fibrillation. This arrhythmia is the most commonly encountered in clinical practice and its complex and metamorphic nature represents a ch...

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Bibliographic Details
Main Author: Mainardi, Luca.
Other Authors: Sörnmo, Leif., Cerutti, Sergio.
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2008.
Series:Synthesis lectures on biomedical engineering (Online) ; # 25.
Subjects:
Atrial fibrillation > Data processing.
Signal processing > Digital techniques.
Online Access:Abstract with links to full text
Table of Contents:
  • Analysis of ventricular response during atrial fibrillation
  • Valentina Corino, Andreu Climent, Luca Mainardi, and Andreas Bollmann
  • Introduction
  • RR interval histograms
  • Heart rate stratified histograms
  • Applications
  • The Poincaré plot
  • The linear regression line
  • The Hough transform
  • Applications
  • Clusters in the Poincaré plot
  • Double sectors in the Poincaré plot
  • The histographic Poincaré plot
  • Applications
  • Time domain parameters
  • Spectral analysis and 1/f power law behavior
  • Methodological aspects
  • Applications
  • Nonlinear indices
  • Embedding time series derived methods
  • Entropy
  • Regularity
  • Conclusions
  • Bibliography
  • Organization measures of atrial activity during fibrillation
  • Flavia Ravelli, Luca Faes, Valentina Corino, and Luca Mainardi
  • Introduction
  • The concept of AF organization
  • Measures of AF organization
  • Rhythm analysis
  • Regularity analysis
  • Synchronization analysis
  • Morphology-based analysis
  • Conclusions
  • Bibliography
  • Modeling atrial fibrillation: from myocardial cells to ECG
  • Adriaan van Oosterom and Vincent Jacquemet
  • Introduction
  • Genesis of electrocardiographic potentials: the forward problem
  • Source models
  • Electrophysiological background
  • The equivalent double layer
  • The volume conductor mode
  • Potentials at arbitrary field points
  • A general forward formulation
  • Modeling activation and recovery
  • Propagation derived from membrane kinetics
  • Units representing the myocardial cells
  • Model parameters as used in the examples
  • Atrial model
  • Thorax model
  • Examples
  • Potentials on the atrial surface
  • Potentials on the thorax surface
  • ECG signals
  • Bibliography
  • Algorithms for atrial tachyarrhythmia detection for long-term monitoring with implantable devices
  • Rahul Mehra, Jeff Gillberg, Paul Ziegler, and Shantanu Sarkar
  • Introduction
  • External versus implantable devices
  • Implantable devices
  • Sensing and detection for implantable pacemakers, ICDs, and CRT devices
  • Intracardiac electrograms
  • Sensing of intracardiac EGMs for AT/AF detection
  • Detection of atrial tachyarrhythmias by pacemakers, ICDs, and CRT devices
  • Detection of AT/AF for pacemaker modeswitching
  • Detection of atrial tachyarrhythmias for atrial antiarrhythmic therapy
  • Detection of AT for VT/SVT discrimination in ICDs
  • Atrial tachyarrhythmia detection with subcutaneous monitoring devices
  • Sensing of RR intervals
  • Physiological concepts for design of detection algorithm
  • Lorenz plot distribution of RR intervals during atrial tachyarrhythmia
  • Atrial tachyarrhythmia detection algorithm
  • Detector performance
  • Monitoring and clinical diagnostics for atrial tachyarrhythmias with ICDs
  • Data collection and organization
  • Monitoring for rhythm control
  • Monitoring for rate control
  • Conclusions.

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