An input-delay neural-network-based approach for piecewise ECG signal compression

Amitava Chatterjee; Amine Nait-Ali; Patrick Siarry

doi:10.1109/TBME.2005.845226

An input-delay neural-network-based approach for piecewise ECG signal compression

IEEE Trans Biomed Eng. 2005 May;52(5):945-7. doi: 10.1109/TBME.2005.845226.

Authors

Amitava Chatterjee¹, Amine Nait-Ali, Patrick Siarry

Affiliation

¹ Université de Paris 12, 700047 Kolkata West Bengal, India. cha_ami@yahoo.co.in

PMID: 15887546
DOI: 10.1109/TBME.2005.845226

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-à-vis other popular techniques for its compression efficiency and reconstruction capability.

Publication types

Evaluation Study

MeSH terms

Algorithms*
Data Compression / methods*
Electrocardiography / methods*
Humans
Neural Networks, Computer*
Signal Processing, Computer-Assisted*
Time Factors