Title :
A New Compression Algorithm for ECG Signals
Author :
Fira, Monica ; Goras, Liviu
Author_Institution :
Fac. of Electron. & Telecommun., Gh. Asachi Tech. Univ.
Abstract :
A new algorithm for ECG (electrocardiogram) signal compression based on local extreme extraction, adaptive hysteretic filtering and cubic interpolation is presented. The efficiency of the algorithm is evaluated using a MLP classifier whose inputs were normal and pathological (right and left bundle branch block) classes of original and reconstructed heartbeats respectively
Keywords :
electrocardiography; interpolation; medical signal processing; multilayer perceptrons; ECG signal; MLP classifier; adaptive hysteretic filtering; cubic interpolation; electrocardiogram signal compression algorithm; local extreme extraction; Adaptive filters; Artificial neural networks; Cardiac disease; Cardiovascular diseases; Compression algorithms; Electrocardiography; Filtering; Heart; Hysteresis; Neural networks; Classification; Compression; ECG signals; MLP networks;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1629948
