DocumentCode
703622
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
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7090093
Link To Document