Neural techniques for ST-T change detection

Computers in Cardiology

Volumn 0, Issue 0, 1996, Pages 677-680

  Silipo, Rosaria ^a   Marchesi, Carlo ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED ANALYSIS; COMPUTER SIMULATION; DATABASE SYSTEMS; ELECTROCARDIOGRAPHY; LEARNING SYSTEMS; SIGNAL PROCESSING;

PRINCIPAL COMPONENT ANALYSIS; RECURRENT NEURAL NETWORKS; ROOT MEAN SQUARED ERROR;

NEURAL NETWORKS;

EID: 0030381141     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (5)

1. Taddei A. at al. ,"The European ST-T Database: Standard for Evaluating Systems for the Analysis of ST-T Changes in Ambulatory Electrocardiog-raphy.", European Heart Journal , Vol. 13, pp. 1164-1172, 1992.
2. Silipo R., Laguna P., Marchesi C., Mark R.G., "Karhunen-Loeve Transform and Artificial Neural Networks for ST-T Analysis.", In: IEEE Computers in Cardiology, pp. 213-216,1995.
3. Pearlmutter B.A.,"Learning Space Trajectories in recurrent Neural Networks.", Neural Computation, Vol. 1, No 2, pp. 263-269, 1989.
4. Piantini F., Silipo R., Marchesi C., Gori M., "Recurrent Neural Networks for ECG Analysis.", Proc. of ICANN '94 pp. 1013-1016, 1994.
5. Laguna P., Moody G.B., Mark R.G., "Analysis of the Cardiac Repolarization period Using the KL Transform: Application on the ST-T Database.", In: IEEE Computers in Cardiology, pp. 233-236, 1994.