A nonlinear dynamical model of compression and detection of ECG signals

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.


Published in:
Proceedings of the EUSIPCO-98, 2, 657-660
Presented at:
EUSIPCO-98, Rhodes, Greece, 8-11 September 1998
Year:
1998
Keywords:
Laboratories:




 Record created 2004-12-03, last modified 2018-03-17


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