Title :
An input-delay neural-network-based approach for piecewise ECG signal compression
Author :
Chatterjee, Amitava ; Nait-Ali, Amine ; Siarry, Patrick
Author_Institution :
Univ. de Paris 12, Creteil, France
fDate :
5/1/2005 12:00:00 AM
Abstract :
We propose an input delay neural network (IDNN) based time series prediction algorithm for compressing electrocardiogram (ECG) signals. Our algorithm has been tested and successfully compared vis-a`-vis other popular techniques for its compression efficiency and reconstruction capability.
Keywords :
data compression; electrocardiography; medical signal processing; neural nets; prediction theory; signal reconstruction; time series; electrocardiogram; input delay neural network; piecewise ECG signal compression; signal reconstruction; time series prediction algorithm; Backpropagation algorithms; Delay effects; Electrocardiography; Network topology; Neural networks; Prediction algorithms; Predictive models; Sampling methods; Testing; Wavelet transforms; ECG compression; input-delay neural networks; piecewise deconstruction; time-series prediction; Algorithms; Data Compression; Electrocardiography; Humans; Neural Networks (Computer); Signal Processing, Computer-Assisted; Time Factors;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2005.845226
