Models for ECG and RR interval Processes  - Chapter 4

P. E. McSharry & G. D. Clifford

in Advanced Methods for ECG Analysis, (Eds. G. D. Clifford, F. Azuaje and P. E. McSharry),  Artech House, Boston, 2006.

Chapter 4 provides a detailed overview of different models for generating realistic electrocardiogram waveforms and RR interval sequences, together with examples of why this is important and how to use them.

Links:

• ECGSYN - Realistic artificial ECG, BP and Respiratory waveform generation, written in Matlab, C and Java. Various versions exist, more numerous that the one found on PhysioNet. 
• RRGEN - Realistic beat-to-beat intervals for sinus rhythm, ectopy, noise and AF. 
• ECGtools - A selection of ECG analysis tools in Matlab including a self-explaining QRS detector, filtering tools and HRV analysis algorithms.
• Jerry Batzel's page
• CVSim on Physionet
• The DeBoer Model in Matlab

Contents:

4.1 Introduction

4.2 RR Interval Models

4.2.1 The Cardiovascular System

4.2.2 The DeBoer Model

4.2.3 The Research Cardiovascular Simulator

4.2.4 Integral Pulse Frequency Modulation Model

4.2.5 Nonlinear Deterministic Models

4.2.6 Coupled Oscillators and Phase Synchronization

4.2.7 Scale Invariance

4.2.8 Physionet Challenge

4.2.9 RR Interval Models for Abnormal Rhythms

4.3 ECG Models

4.3.1 Computational Physiology

4.3.2 Synthetic Electrocardiogram Signals