title: An input-delay neural-network-based approach for piecewise ECG signal compression.
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.
authors.affiliation: Université de Paris 12, 700047 Kolkata West Bengal, India. cha_ami@yahoo.co.in
authors.forename: Amitava
authors.initials: A
authors.lastname: Chatterjee
authors.forename: Amine
authors.initials: A
authors.lastname: Nait-Ali
authors.forename: Patrick
authors.initials: P
authors.lastname: Siarry
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors