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Understanding atrial fibrillation, the signal processing contribution. Part I

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) ; # 24.
Subjects:
Atrial fibrillation > Data processing.
Signal processing > Digital techniques.
Online Access:Abstract with links to full text
Table of Contents:
  • Introduction to atrial fibrillation: from mechanisms to treatment
  • Andreas Bollmann and Federico Lombardi
  • Background
  • Atrial fibrillation mechanisms
  • Main determinants of atrial activation, the wavelength concept
  • AF activation mapping
  • AF frequency mapping
  • Classification schemes
  • Epidemiology
  • Clinical presentation
  • Mortality and morbidity
  • Treatment of atrial fibrillation
  • Conclusions
  • Bibliography
  • Time domain analysis of atrial fibrillation
  • Introduction
  • Atrial fibrillation and ECG characteristics
  • Fibrillatory wave analysis
  • Fibrillatory wave amplitude
  • Fibrillatory wave rate
  • Reproducibility over time
  • Suitable lead sets for AF analysis
  • Vector analysis
  • Limitations of AF analysis
  • Conclusions
  • Bibliography
  • Atrial activity extraction from the ECG
  • Leif Sörnmo, Martin Stridh, and José Joaquín Rieta
  • Introduction
  • Average beat subtraction and variants
  • Spatiotemporal QRST cancellation
  • TQ-based fibrillation signal
  • Separate QRS complex and T wave cancellation
  • Single-beat cancellation
  • Principal component analysis
  • Single-lead analysis
  • Multi-lead analysis
  • Independent component analysis
  • Model and methods
  • Application to ECG signals
  • Performance evaluation
  • Simulation models
  • Performance measures
  • Conclusions
  • Bibliography
  • Time-frequency analysis of atrial fibrillation
  • Frida Sandberg, Martin Stridh, and Leif Sörnmo
  • Introduction
  • Time-frequency distributions
  • The Wigner-Ville distribution
  • The Cross Wigner-Ville distribution
  • The spectral profile method
  • Robust spectral estimation
  • Spectral profile validity
  • Spectral modeling with Gaussian functions
  • Hidden Markov model
  • Conclusions
  • Bibliography.

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