Title :
A nonlinear dynamical model for compression and detection of ECG data
Author :
Schimming, T. ; Ogorzalek, M. ; Dedieu, H.
Author_Institution :
Circuits & Syst. Group, EPFL, Lausanne, Switzerland
Abstract :
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.
Keywords :
data compression; electrocardiography; feature extraction; medical signal processing; nonlinear dynamical systems; ECG data compression ratio; ECG data detection; electrocardiography; feature detection; low dimensional nonlinear dynamical model; modeling errors; real clinically measured ECG signal tests; Approximation methods; Data compression; Data models; Electrocardiography; Harmonic analysis; Mathematical model; Optimization;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4
