A Nonlinear Dynamical Model For Compression And Detection Of Ecg Data

We propose a low-dimensional nonlinear model explaining the ECG dynamics, suitable for data compression and possibly feature detection. Tests on real clinically measured ECG signals confirmed very good performance of the model in terms of modeling errors and compression ratio. 1 INTRODUCTION The Electrocardiogram (ECG) is a recording (measurement) of the electrical activity generated by the heart carried out using sensors positioned on the body surface. Analysis of this signal provides the most common non-invasive method to diagnose cardiac disfunctions. With the development of computerized electrocardiography a wide range of applications have been already implemented, e.g. ambulatory ECG for the detection of heart block transients, real time patient monitoring in coronary care units and intensive care units, etc... The recent advances in the development of mobile communications is now making feasible and affordable the concept of long distance real time patient monitoring. However, ..